Alternatives to Prefect Horizon

Compare Prefect Horizon alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Prefect Horizon in 2026. Compare features, ratings, user reviews, pricing, and more from Prefect Horizon competitors and alternatives in order to make an informed decision for your business.

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    Cyclr

    Cyclr

    Cyclr

    Cyclr is an embedded integration toolkit (embedded iPaaS) for creating, managing and publishing white-labelled integrations directly into your SaaS application. With a low-code, visual integration builder and a fully featured unified API for developers, all teams can impact integration creation and delivery. Flexible deployment methods include an in-app Embedded integration marketplace, where you can push your new integrations live, for your users to self serve, in minutes. Cyclr's fully multi-tenanted architecture helps you scale your integrations with security fully built in - you can even opt for Private deployments (managed or in your infrastructure). Accelerate your AI strategy by Creating and publishing your own MCP Servers too, so you can make your SaaS usable inside LLMs. We help take the hassle out of delivering your users' integration needs.
    Starting Price: $1599 per month
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    agentgateway

    agentgateway

    LF Projects, LLC

    agentgateway is a unified gateway platform designed to secure, connect, and observe an organization’s entire AI ecosystem. It provides a single point of control for LLMs, AI agents, and agentic protocols such as MCP and A2A. Built from the ground up for AI-native connectivity, agentgateway supports workloads that traditional gateways cannot handle. The platform enables controlled LLM consumption with strong security, usage visibility, and budget governance. It offers full observability into agent-to-agent and agent-to-tool interactions. agentgateway is deeply invested in open source and is hosted by the Linux Foundation. It helps enterprises future-proof their AI infrastructure as agentic systems scale.
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    Zapier

    Zapier

    Zapier

    Zapier is an AI-powered automation platform designed to help teams safely scale workflows, agents, and AI-driven processes. It connects over 8,000 apps into a single ecosystem, allowing businesses to automate work across tools without writing code. Zapier enables teams to build AI workflows, custom AI agents, and chatbots that handle real tasks automatically. The platform brings AI, data, and automation together in one place for faster execution. Zapier supports enterprise-grade security, compliance, and observability for mission-critical workflows. With pre-built templates and AI-assisted setup, teams can start automating in minutes. Trusted by leading global companies, Zapier turns AI from hype into measurable business results.
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    Starting Price: $19.99 per month
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    MintMCP

    MintMCP

    MintMCP

    MintMCP is an enterprise-grade Model Context Protocol (MCP) gateway and governance platform that provides centralized security, observability, authentication, and compliance controls for AI tools and agents connecting to internal data, systems, and services. It lets organizations deploy, monitor, and govern MCP infrastructure at scale, giving real-time visibility into every MCP tool call, enforcing role-based access control and enterprise authentication, and maintaining complete audit trails that meet regulatory and compliance needs. Built as a proxy gateway, MintMCP consolidates connections from AI assistants like ChatGPT, Claude, Cursor, and others to MCP servers and tools, enabling unified monitoring, blocking of risky behavior, secure credential management, and fine-grained policy enforcement without requiring each tool to implement security individually.
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    DeployStack

    DeployStack

    DeployStack

    DeployStack is an enterprise-focused Model Context Protocol (MCP) management platform designed to centralize, secure, and optimize how teams use and govern MCP servers and AI tools across organizations. It provides a single dashboard to manage all MCP servers with centralized credential vaulting, eliminating scattered API keys and manual local config files, while enforcing role-based access control, OAuth2 authentication, and bank-level encryption for secure enterprise usage. It offers usage analytics and observability, giving real-time insights into which MCP tools teams use, who accesses them, and how often, along with audit logs for compliance and cost-control visibility. DeployStack also includes token/context window optimization so LLM clients consume far fewer tokens when loading MCP tools by routing through a hierarchical system, allowing scalable access to many MCP servers without degrading model performance.
    Starting Price: $10 per month
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    Lunar.dev

    Lunar.dev

    Lunar.dev

    Lunar.dev is an AI gateway and API consumption management platform that gives engineering teams a single, unified control plane to monitor, govern, secure, and optimize all outbound API and AI agent traffic, including calls to large language models, Model Context Protocol tools, and third-party services, across distributed applications and workflows. It provides real-time visibility into usage, latency, errors, and costs so teams can observe every model, API, and agent interaction live, and apply policy enforcement such as role-based access control, rate limiting, quotas, and cost guards to maintain security and compliance while preventing overuse or unexpected bills. Lunar.dev's AI Gateway centralizes control of outbound API traffic with identity-aware routing, traffic inspection, data redaction, and governance, while its MCPX gateway consolidates multiple MCP servers under one secure endpoint with full observability and permission management for AI tools.
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    Obot MCP Gateway
    Obot is an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway that gives organizations a centralized control plane for discovering, onboarding, managing, securing, and scaling MCP servers, services that connect large language models and AI agents to enterprise systems, tools, and data. It bundles an MCP gateway, catalog, admin console, and optional built-in chat interface into a modern interface that integrates with identity providers (e.g., Okta, Google, GitHub) to enforce access control, authentication, and governance policies across MCP endpoints, ensuring secure, compliant AI interactions. Obot lets IT teams host local or remote MCP servers, proxy access through a secure gateway, define fine-grained user permissions, log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents.
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    Gate22

    Gate22

    ACI.dev

    Gate22 is an enterprise-grade AI governance and MCP (Model Context Protocol) control platform that centralizes, secures, and observes how AI tools and agents access and use MCP servers across an organization. It lets administrators onboard, configure, and manage both external and internal MCP servers with fine-grained, function-level permissions, team-based access control, and role-based policies so that only approved tools and functions can be used by specific teams or users. Gate22 provides a unified MCP endpoint that bundles multiple MCP servers into a simplified interface with just two core functions, so developers and AI clients consume fewer tokens and avoid context overload while maintaining high accuracy and security. The admin view offers a governance dashboard to monitor usage patterns, maintain compliance, and enforce least-privilege access, while the member view gives streamlined, secure access to authorized MCP bundles.
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    Peta

    Peta

    Peta

    Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.
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    ContextForge MCP Gateway
    ContextForge MCP Gateway is an open source Model Context Protocol (MCP) gateway, registry, and proxy platform that provides a unified endpoint for AI clients to discover and access tools, resources, prompts, and REST or MCP services in complex AI ecosystems. It sits in front of multiple MCP servers and REST APIs to federate and unify discovery, authentication, rate-limiting, observability, and traffic routing across diverse backends, with support for transports such as HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP, and can virtualize legacy APIs as MCP-compliant tools. It includes an optional Admin UI for real-time configuration, monitoring, and log visibility, and is designed to scale from standalone deployments to multi-cluster Kubernetes environments with Redis-backed federation and caching for performance and resilience.
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    Webrix MCP Gateway
    Webrix MCP Gateway is an enterprise AI adoption infrastructure that enables organizations to securely connect AI agents (Claude, ChatGPT, Cursor, n8n) to internal tools and systems at scale. Built on the Model Context Protocol standard, Webrix provides a single secure gateway that eliminates the #1 blocker to AI adoption: security concerns around tool access. Key capabilities: - Centralized SSO & RBAC - Connect employees to approved tools instantly without IT tickets - Universal agent support - Works with any MCP-compliant AI agent - Enterprise security - Audit logs, credential management, and policy enforcement - Self-service enablement - Employees access internal tools (Jira, GitHub, databases, APIs) through their preferred AI agents without manual configuration Webrix solves the critical challenge of AI adoption: giving your team the AI tools they need while maintaining security, visibility, and governance. Deploy on-premise, in your cloud, or use our managed service
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    Storm MCP

    Storm MCP

    Storm MCP

    Storm MCP is a gateway built around the Model Context Protocol (MCP) that lets AI applications connect to multiple verified MCP servers with one-click deployment, offering enterprise-grade security, observability, and simplified tool integration without requiring custom integration work. It enables you to standardize AI connections by exposing only selected tools from each MCP server, thereby reducing token usage and improving model tool selection. Through Lightning deployment, one can connect to over 30 secure MCP servers, while Storm handles OAuth-based access, full usage logs, rate limiting, and monitoring. It’s designed to bridge AI agents with external context sources in a secure, managed fashion, letting developers avoid building and maintaining MCP servers themselves. Built for AI agent developers, workflow builders, and indie hackers, Storm MCP positions itself as a composable, configurable API gateway that abstracts away infrastructure overhead and provides reliable context.
    Starting Price: $29 per month
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    Microsoft MCP Gateway
    Microsoft MCP Gateway is an open source reverse proxy and management layer for Model Context Protocol (MCP) servers that enables scalable, session-aware routing, lifecycle management, and centralized control of MCP services, especially in Kubernetes environments. It functions as a control plane that routes AI agent (MCP client) requests to the appropriate backend MCP servers with session affinity, dynamically handling multiple tools and endpoints under one unified gateway while ensuring authorization and observability. It lets teams deploy, update, and delete MCP servers and tools via RESTful APIs, register tool definitions, and manage these resources with access control layers such as bearer tokens and RBAC. Its architecture separates control plane management (CRUD operations on adapters/tools and metadata) from data plane routing (streamable HTTP connections and dynamic tool routing), offering features like session-aware stateful routing.
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    Klavis AI

    Klavis AI

    Klavis AI

    Klavis AI provides open source infrastructure to simplify the use, building, and scaling of Model Context Protocols (MCPs) for AI applications. MCPs enable tools to be added dynamically at runtime in a standardized way, eliminating the need for preconfigured integrations during design time. Klavis AI offers hosted, secure MCP servers, eliminating the need for authentication management and client code. The platform supports integration with various tools and MCP servers. Klavis AI's MCP servers are stable and reliable, hosted on dedicated cloud infrastructure, and support OAuth and user-based authentication for secure access and management of user resources. The platform also offers MCP clients on Slack, Discord, and the web, allowing direct access to MCPs within these communication platforms. Additionally, Klavis AI provides a standardized RESTful API interface to interact with MCP servers, enabling developers to integrate MCP functionality into their applications.
    Starting Price: $99 per month
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    Solo Enterprise

    Solo Enterprise

    Solo Enterprise

    Solo Enterprise provides a unified cloud-native application networking and connectivity platform that helps enterprises securely connect, scale, manage, and observe APIs, microservices, and intelligent AI workloads across distributed environments, especially Kubernetes-based and multi-cluster infrastructures. Its core capabilities are built on open source technologies such as Envoy and Istio and include Gloo Gateway for omnidirectional API management (handling external, internal, and third-party traffic with security, authentication, traffic routing, observability, and analytics), Gloo Mesh for centralized multi-cluster service mesh control (simplifying service-to-service connectivity and security across clusters), and Agentgateway/Gloo AI Gateway for secure, governed LLM/AI agent traffic with guardrails and integration support.
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    Prefect

    Prefect

    Prefect

    Prefect is a workflow orchestration and automation platform designed for the modern context-driven era. It enables teams to turn Python functions into production-ready workflows with minimal effort. Prefect provides open-source foundations alongside managed platforms for enterprise-scale automation. The platform supports building and orchestrating data pipelines, workflows, and AI applications with full observability. Prefect Cloud offers managed orchestration with autoscaling, enterprise authentication, and built-in governance. Prefect Horizon extends automation to AI infrastructure by enabling deployment of MCP servers for AI agents. Trusted by leading organizations, Prefect helps teams scale automation without operational complexity.
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    FastMCP

    FastMCP

    fastmcp

    FastMCP is an open source, Pythonic framework for building Model Context Protocol (MCP) applications that makes creating, managing, and interacting with MCP servers simple and production-ready by handling the protocol’s complexity so developers can focus on business logic. The Model Context Protocol (MCP) is a standardized way for large language models to securely connect to tools, data, and services, and FastMCP provides a clean API to implement that protocol with minimal boilerplate, using Python decorators to register tools, resources, and prompts. A typical FastMCP server is created by instantiating a FastMCP object, decorating Python functions as tools (functions the LLM can invoke), and then running the server with built-in transport options like stdio or HTTP; this lets AI clients call into your code as if it were part of the model’s context.
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    MCPTotal

    MCPTotal

    MCPTotal

    MCPTotal is a secure, enterprise-grade platform designed to manage, host, and govern MCP (Model Context Protocol) servers and AI-tool integrations in a controlled, audit-ready environment rather than letting them run ad hoc on developers’ machines. It offers a “Hub”, a centralized, sandboxed runtime environment where MCP servers are containerized, hardened, and pre-vetted for security. A built-in “MCP Gateway” acts like an AI-native firewall: it inspects MCP traffic in real time, enforces policies, monitors all tool calls and data flows, and prevents common risks such as data exfiltration, prompt-injection attacks, or uncontrolled credential usage. All API keys, environment variables, and credentials are stored securely in an encrypted vault, avoiding the risk of credential-sprawl or storing secrets in plaintext files on local machines. MCPTotal supports discovery and governance; security teams can scan desktops and cloud instances to detect where MCP servers are in use.
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    mcp-use

    mcp-use

    mcp-use

    mcp-use is an open source development platform offering SDKs, cloud infrastructure, and a developer-friendly control plane for building, managing, and deploying AI agents that leverage the Model Context Protocol (MCP). It enables connection to multiple MCP servers, each exposing specific tool capabilities like browsing, file operations, or specialized integrations, through a unified MCPClient. Developers can create custom agents (via MCPAgent) that dynamically select the most appropriate server for each task using configurable pipelines or a built-in server manager. It simplifies authentication, access control, audit logging, observability, sandboxed runtime environments, and deployment workflows, whether self-hosted or managed, making MCP development production-ready. With integrations for popular frameworks like LangChain (Python) and LangChain.js (TypeScript), mcp-use accelerates the creation of tool-enabled AI agents.
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    Azure API Management
    Manage APIs across clouds and on-premises: In addition to Azure, deploy the API gateways side-by-side with the APIs hosted in other clouds and on-premises to optimize API traffic flow. Meet security and compliance requirements while enjoying a unified management experience and full observability across all internal and external APIs. Move faster with unified API management: Today's innovative enterprises are adopting API architectures to accelerate growth. Streamline your work across hybrid and multi-cloud environments with a single place for managing all your APIs. Help protect your resources: Selectively expose data and services to employees, partners, and customers by applying authentication, authorization, and usage limits.
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    Docker MCP Gateway
    Docker MCP Gateway is an open source core component of the Docker MCP Catalog and Toolkit that runs Model Context Protocol (MCP) servers in isolated Docker containers with restricted privileges, network access, and resource limits to ensure secure, consistent execution environments for AI tools. It manages the entire lifecycle of MCP servers, including starting containers on demand when an AI application needs a tool, injecting required credentials, applying security restrictions, and routing requests so the server processes them and returns results through a unified gateway interface. By consolidating all enabled MCP containers behind a single, unified endpoint, the Gateway simplifies how AI clients discover and access multiple MCP services, reducing duplication, improving performance, and centralizing configuration and authentication.
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    Microsoft Foundry Agent Service
    Microsoft Foundry Agent Service is a secure, enterprise-ready platform for designing, deploying, and orchestrating AI agents at scale. It gives teams a streamlined interface and toolset to automate complex workflows using multi-agent systems. Developers can build with hosted agents, custom code, or agent frameworks while taking advantage of Azure’s reliability, scalability, and integrated observability. Built-in tools, enterprise connectors, and Model Context Protocol support make it easy for agents to interact with business systems and organizational data. Security, access governance, and compliance are embedded throughout, allowing companies to maintain full control while deploying intelligent automation across critical processes. With one-click deployment to Microsoft 365 experiences, Foundry Agent Service accelerates how organizations operationalize AI in everyday work.
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    AgentPass.ai

    AgentPass.ai

    AgentPass.ai

    AgentPass.ai is a secure platform designed to facilitate the deployment of AI agents in enterprise environments by providing production-ready Model Context Protocol (MCP) servers. It allows users to set up fully hosted MCP servers without the need for coding, incorporating built-in features such as user authentication, authorization, and access control. Developers can convert OpenAPI specifications into MCP-compatible tool definitions, enabling the management of complex API ecosystems through nested structures. AgentPass.ai also offers observability features like analytics, audit logs, and performance monitoring, and supports multi-tenant architecture for managing multiple environments. By utilizing AgentPass.ai, organizations can safely scale AI automation while maintaining centralized oversight and compliance across their AI agent deployments.
    Starting Price: $99 per month
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    TrueFoundry

    TrueFoundry

    TrueFoundry

    TrueFoundry is a unified platform with an enterprise-grade AI Gateway - combining LLM, MCP, and Agent Gateway - to securely manage, route, and govern AI workloads across providers. Its agentic deployment platform also enables GPU-based LLM deployment along with agent deployment with best practices for scalability and efficiency. It supports on-premise and VPC installations while maintaining full compliance with SOC 2, HIPAA, and ITAR standards.
    Starting Price: $5 per month
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    Composio

    Composio

    Composio

    Composio is an integration platform designed to enhance AI agents and Large Language Models (LLMs) by providing seamless connections to over 150 tools with minimal code. It supports a wide array of agentic frameworks and LLM providers, facilitating function calling for efficient task execution. Composio offers a comprehensive repository of tools, including GitHub, Salesforce, file management systems, and code execution environments, enabling AI agents to perform diverse actions and subscribe to various triggers. The platform features managed authentication, allowing users to oversee authentication processes for all users and agents from a centralized dashboard. Composio's core capabilities include a developer-first integration approach, built-in authentication management, an expanding catalog of over 90 ready-to-connect tools, a 30% increase in reliability through simplified JSON structures and improved error handling, SOC Type II compliance ensuring maximum data security.
    Starting Price: $49 per month
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    fastn

    fastn

    fastn

    No-code, AI-powered orchestration platform for developers to connect any data flow and create hundreds of app integrations. Use an AI agent to create APIs from human prompts, adding new integrations without coding. Connect all application requirements with one Universal API. Build, extend, reuse, and unify integrations and authentication. Compose high-performance, enterprise-ready APIs in minutes, with built-in observability and compliance. Integrate your app in just a few clicks. Instant data orchestration across all connected systems. Focus on growth, not infrastructure; manage, monitor, and observe. Poor performance, limited insights, and scalability problems lead to inefficiencies and downtime. Overwhelming API integration backlogs and complex connectors slow innovation and productivity. Data inconsistencies across systems require hours to chase down. Develop and integrate connectors with any data source, regardless of its age or format.
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    Devant
    WSO2 Devant is an AI-native integration platform as a service designed to help enterprises connect, integrate, and build intelligent applications across systems, data sources, and AI services in the AI era. It enables users to connect to generative AI models, vector databases, and AI agents, and infuse applications with AI capabilities while simplifying complex integration challenges. Devant includes a no-code/low-code and pro-code development experience with AI-assisted development tools such as natural-language-based code generation, suggestions, automated data mapping, and testing to speed up integration workflows and foster business-IT collaboration. It provides an extensive library of connectors and templates to orchestrate integrations across protocols like REST, GraphQL, gRPC, WebSockets, TCP, and more, scale across hybrid/multi-cloud environments, and connect systems, databases, and AI agents.
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    xpander.ai

    xpander.ai

    xpander.ai

    xpander.ai is a backend-as-a-service platform tailored for production-grade AI agents, offering developers a robust infrastructure that handles memory, tools, connectors, multi-agent workflows, triggering, state management, observability, and CI/CD pipelines without requiring infrastructure setup. Its visual AI agent workbench enables users to design, configure, simulate, test, and deploy agents interactively, complete with support for multi-agent collaboration, tool integrations, role-based access, and runtime governance. Developers can connect agents to SaaS or enterprise systems via AI-ready connectors, attach tool-compatible workflows, and monitor agent behavior with built-in observability and lifecycle tools. It supports deployment on hosted cloud infrastructure or within private VPCs, ensuring both agility and secure enterprise integration, and accelerates agent development from idea to production.
    Starting Price: $49 per month
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    Belden Horizon Console
    Belden Horizon is an industrial-grade software suite designed to provide secure remote connectivity, edge orchestration, and operational-technology (OT) data management for factories, plants, and other mission-critical infrastructure. At its core, the Belden Horizon Console enables Secure Remote Access (SRA) and persistent, always-on connectivity (via Persistent Data Network, PDN), allowing technicians or service providers to safely connect to remote machines or networks for troubleshooting, maintenance, or monitoring, without requiring complex IP routing or exposing the broader network. Horizon uses a zero-trust, multilayered security model including token-based two-factor authentication, role-based user and device access, encrypted tunnels, single sign-on (Active Directory), user-configurable password policies, IP allow lists, and a “virtual Lockout-Tagout (vLOTO)” permission system before granting connections to machines.
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    Teradata Enterprise AgentStack
    Teradata Enterprise AgentStack is an integrated platform for building, deploying, and governing enterprise-grade autonomous AI agents that connect to trusted data and analytics, helping organizations move from experimentation to production-ready agentic AI with enterprise-level control. It unifies capabilities to support the full agent lifecycle; AgentBuilder accelerates the creation of intelligent agents using no-code and pro-code tools that integrate with Teradata Vantage and open-source frameworks; the Enterprise MCP delivers secure, context-rich access to governed enterprise data and curated prompts for agent intelligence; AgentEngine provides scalable execution of agents with consistent memory and reliability across hybrid environments; and AgentOps centralizes monitoring, governance, compliance, auditability, and policy enforcement so agents operate within defined guardrails.
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    Gentoro

    Gentoro

    Gentoro

    Gentoro is a platform built to empower enterprises to adopt agentic automation by bridging AI agents with real-world systems securely and at scale. It uses the Model Context Protocol (MCP) as its foundation, allowing developers to automatically convert OpenAPI specs or backend endpoints into production-ready MCP Tools, without writing custom integration code. Gentoro takes care of runtime concerns like logging, retries, monitoring, and cost optimization, while enforcing secure access, auditability, and governance policies (e.g., OAuth support, policy enforcement) whether deployed in a private cloud or on-premises. It is model- and framework-agnostic, meaning it supports integration with various LLMs and agent architectures. Gentoro helps avoid vendor lock-in and simplifies tool orchestration in enterprise environments by managing tool generation, runtime, security, and maintenance in one stack.
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    Golf

    Golf

    Golf

    GolfMCP is an open source framework designed to streamline the creation and deployment of production-ready Model Context Protocol (MCP) servers, enabling organizations to build secure, scalable AI-agent infrastructure without worrying about boilerplate. It allows developers to define tools, prompts, and resources as simple Python files, after which Golf handles routing, authentication, telemetry, and observability, so you focus on logic, not plumbing. The platform supports enterprise authentication (JWT, OAuth Server, API key), automatic telemetry, and a file-based structure that eliminates decorators or manual schema wiring. With built-in utilities for LLM interactions, error logging, OpenTelemetry integration, and deployment tools (such as a CLI with golf init, golf build dev, golf run), Golf provides a full stack for agent-native services. Included also is the Golf Firewall, an enterprise-grade security layer for MCP servers that enforces token validation.
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    Microsoft Agent 365
    Microsoft Agent 365 introduces a unified control plane that allows organizations to deploy, manage, and secure AI agents with the same confidence they apply to user management. It gives enterprises full visibility into all agents, including Entra-verified agents, self-registered agents, and shadow agents running across the environment. Built on Microsoft’s trusted ecosystem, Agent 365 extends familiar tools like Entra, Defender, Purview, Power Apps, and Microsoft 365 to support identity, security, governance, and productivity for agents. With Work IQ, organizations can connect agents directly to their unique company data and workflows, enabling smarter, more context-aware automation. IT admins can access Agent 365 early via Frontier, Microsoft’s early access program, and activate it at the tenant or user level. Designed to scale with modern AI adoption, Agent 365 ensures that enterprise agentic systems remain secure, compliant, and manageable from day one.
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    WSO2 API Manager
    One complete platform for building, integrating, and exposing your digital services as managed APIs in the cloud, on-premises, and hybrid architectures to drive your digital transformation strategy. Implement industry-standard authorization flows — such as OAuth, OpenID Connect, and JWTs — out of the box and integrate with your existing identity access or key management tools. Build APIs from existing services, manage APIs from internally built applications and from third-party providers, and monitor their usage and performance from inception to retirement. Provide real-time access to API usage and performance statistics to decision-makers to optimize your developer support, continuously improve your services, and drive further adoption to reach your business goals.
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    Metorial

    Metorial

    Metorial

    Metorial is an open source, developer-centric integration platform that streamlines the creation, deployment, monitoring, and scaling of agentic AI applications by connecting models to tools, data, and APIs via the Model Context Protocol. With a catalog of over 600 verified MCP “servers,” developers can give their agents capabilities like interacting with Slack, Google Calendar, Notion, APIs, databases, or other systems in just a few clicks or one API call. Metorial’s infrastructure is serverless and built for scale, deploying MCP servers in three clicks or an API call, supporting “zero to millions” of requests, and offering out-of-the-box observability including detailed logging, tracing, session replay, and error alerts. A full set of SDKs (Python, TypeScript) is provided, and every interaction is traceable so teams can audit and optimize agent behaviour. Whether self-hosted or cloud-powered, Metorial offers enterprise-grade security and multi-tenant support.
    Starting Price: $35 per month
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    AgentKit

    AgentKit

    OpenAI

    AgentKit is a unified suite of tools designed to streamline the process of building, deploying, and optimizing AI agents. It introduces Agent Builder, a visual canvas that lets developers compose multi-agent workflows via drag-and-drop nodes, set guardrails, preview runs, and version workflows. The Connector Registry centralizes the management of data and tool integrations across workspaces and ensures governance and access control. ChatKit enables frictionless embedding of agentic chat interfaces, customizable to match branding and experience, into web or app environments. To support robust performance and reliability, AgentKit enhances its evaluation infrastructure with datasets, trace grading, automated prompt optimization, and support for third-party models. It also supports reinforcement fine-tuning to push agent capabilities further.
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    CData Connect AI
    CData’s AI offering is centered on Connect AI and associated AI-driven connectivity capabilities, which provide live, governed access to enterprise data without moving it off source systems. Connect AI is built as a managed Model Context Protocol (MCP) platform that lets AI assistants, agents, copilots, and embedded AI applications directly query over 300 data sources, such as CRM, ERP, databases, APIs, with a full understanding of data semantics and relationships. It enforces source system authentication, respects existing role-based permissions, and ensures that AI actions (reads and writes) follow governance and audit rules. The system supports query pushdown, parallel paging, bulk read/write operations, streaming mode for large datasets, and cross-source reasoning via a unified semantic layer. In addition, CData’s “Talk to your Data” engine integrates with its Virtuality product to allow conversational access to BI insights and reports.
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    HelpNow Agentic AI Platform
    Bespin Global’s HelpNow Agentic AI Platform is an enterprise-grade AI agent automation and orchestration platform that lets organizations rapidly create, deploy, and manage autonomous AI agents tailored to real business workflows without deep coding, using a visual builder (Agentic Studio) and centralized portal to design single or multi-agent workflows, integrate with existing systems via APIs and connectors, and monitor performance in real time with an Agent Control Tower for governance, policy enforcement, and quality oversight; it supports LLM orchestration, multimodal inputs (text, voice, STT/TTS), and flexible deployment across cloud environments (AWS, GCP, Azure, on-premises) with connectivity to internal data, documents, and business processes so agents can act on context-rich enterprise information. It combines tools for agent lifecycle management, real-time observability, integration with voice and document processing, and enterprise governance.
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    ToolSDK.ai

    ToolSDK.ai

    ToolSDK.ai

    ToolSDK.ai is a free TypeScript SDK and marketplace that accelerates building agentic AI applications by providing instant access to over 5,300+ MCP (Model Context Protocol) servers and composable tools with one line of code, enabling developers to wire up real-world workflows combining language models with external systems. The platform exposes a unified client for loading packaged MCP servers (e.g., search, email, CRM, task management, storage, analytics) and converting them into OpenAI-compatible tools, handling authentication, invocation, and result orchestration so assistants can call, compare, and act on live data from services like Gmail, Salesforce, Google Drive, ClickUp, Notion, Slack, GitHub, analytics platforms, and custom web search or automation endpoints. It includes example quick-start integrations, supports metadata and conditional logic in multi-step orchestrations, and makes scaling to parallel agents and complex pipelines straightforward.
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    Coder

    Coder

    Coder

    Coder is the AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Coder’s self-hosted Cloud Development Environment (CDE) is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
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    Kong AI Gateway
    ​Kong AI Gateway is a semantic AI gateway designed to run and secure Large Language Model (LLM) traffic, enabling faster adoption of Generative AI (GenAI) through new semantic AI plugins for Kong Gateway. It allows users to easily integrate, secure, and monitor popular LLMs. The gateway enhances AI requests with semantic caching and security features, introducing advanced prompt engineering for compliance and governance. Developers can power existing AI applications written using SDKs or AI frameworks by simply changing one line of code, simplifying migration. Kong AI Gateway also offers no-code AI integrations, allowing users to transform, enrich, and augment API responses without writing code, using declarative configuration. It implements advanced prompt security by determining allowed behaviors and enables the creation of better prompts with AI templates compatible with the OpenAI interface.
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    Workato

    Workato

    Workato

    Workato is the operating system for today’s fast-moving business. Recognized as a leader by both Gartner and Forrester, it is the only AI-based middleware platform that enables both business and IT to integrate their apps and automate complex business workflows with security and governance. Given the massive and growing fragmentation of data, apps, and business processes in enterprises today, our mission is to help companies integrate and automate at least 10 times faster than traditional tools and at a tenth of the cost of ownership. We believe Integration is a mission-critical, neutral technology for the dynamic and heterogeneous IT environments of today. We are the only technology vendor backed by all 3 of the top SaaS vendors: Salesforce, Workday, and ServiceNow. Trusted by world's top brands as well as its fastest-growing innovators, we are most appreciative of the fact that customers recognize us as being among the best companies to do business with.
    Starting Price: $10,000 per feature per year
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    Gram

    Gram

    Speakeasy

    Gram is an open source platform that enables developers to create, curate, and host Model Context Protocol (MCP) servers effortlessly, by transforming REST APIs (via OpenAPI specs) into AI-agent-ready tools without code changes. It guides users through a workflow: generating default tooling from API endpoints, scoping down to relevant tools, composing higher-order custom tools by chaining multiple calls, enriching tools with contextual prompts and metadata, and instantly testing within an interactive playground. With built-in support for OAuth 2.1 (including Dynamic Client Registration or user-authored flows), it ensures secure agent access. Once ready, these tools can be hosted as production-grade MCP servers, complete with centralized management, role-based access, audit logs, and compliance-ready infrastructure, including Cloudflare edge deployment and DXT-packaged installers for easy distribution.
    Starting Price: $250 per month
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    Dymium

    Dymium

    Dymium

    Dymium is the real-time data governance layer that ensures AI agents, applications, and analytics only access the precise information they’re permitted to see. Powered by its Ghost Layer architecture, Dymium evaluates every request as it happens, enforcing identity-, role-, and context-aware policies instantly. Sensitive data never needs to be copied, staged, or broadly exposed—access is governed directly at the source through GhostDB, GhostAPI, and GhostMCP. This enables teams to work at inference speed without creating compliance or security risk. Every interaction is logged and auditable in real time, supporting GDPR, HIPAA, and AI Act requirements by default. With Dymium, organizations unlock more data safely while eliminating over-permissioning, data duplication, and operational bottlenecks.
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    NudgeBee

    NudgeBee

    NudgeBee

    NudgeBee is an AI-agentic operations platform and workflow builder designed to automate, optimize, and secure cloud and SRE workflows by combining pre-built AI assistants with customizable agentic automation that integrates with existing tools, observability systems, and cloud infrastructure. It provides a library of reusable AI agents and workflows that help teams accelerate troubleshooting by detecting root causes and recommending or automating fixes, continuously optimize cloud resources to reduce waste and cost, and standardize day-2 operations such as scaling, rightsizing persistent storage, and compliance tasks with guardrails that maintain control and auditability within enterprise environments. Users can build or extend workflows by adding context-aware logic and connecting NudgeBee to tools like Kubernetes, CI/CD platforms, messaging systems (Slack, Teams, Google Chat), and ticketing systems.
    Starting Price: $150 per month
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    Trylli AI

    Trylli AI

    Trylli AI

    Trylli AI is a next-generation AI voice calling system that replaces traditional telecalling with intelligent, human-like agents. It enables businesses to run inbound and outbound calls at scale, handling sales, support, reminders, HR interviews, and more. Agents can be built using ready templates, chat-based setup, or advanced workflows, with options for multi-agent deployment, shared or isolated memory, and even a “Super Agent” for context switching. Trylli AI integrates a knowledge base for domain-specific queries, supports English and Hindi (with future global languages), and offers customizable voices for personalized conversations. Batch calling allows large-scale campaigns like collections, renewals, or verifications. With detailed analytics, call recordings, role-based access control, and integrations via APIs, Slack, and CRM systems, Trylli AI provides businesses with a scalable, multilingual, and context-aware AI telecaller that works 24/7.
    Starting Price: $49/Month - 750 Minutes
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    PromptX

    PromptX

    VE3 Global

    PromptX unifies your data across SharePoint, Google Drive, email, cloud, and legacy systems into a single Enterprise Knowledge System. With AI-Powered Search, users ask conversational questions and get context-aware, verifiable answers in seconds. Auto-ingestion, semantic tagging, smart entity recognition transforms unstructured files, emails, and URLs into Knowledge Cards. Adaptive prompts, split-chat pathways, collaborative workspaces, and agent automations streamline workflows. Deployed across any cloud or hybrid environment, PromptX integrates any LLM or external search engine, PromptX scales to any enterprise, all while providing granular permissions, SSO, audit trails, and built-in AI governance.
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    Qwen Code
    Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results on Agentic Coding, Browser‑Use, and Tool‑Use tasks comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 % code) and synthetic data cleaned via Qwen2.5‑Coder optimized both coding proficiency and general abilities, while post‑training employs large‑scale, execution‑driven reinforcement learning and long‑horizon RL across 20,000 parallel environments to excel on multi‑turn software‑engineering benchmarks like SWE‑Bench Verified without test‑time scaling. Alongside the model, the open source Qwen Code CLI (forked from Gemini Code) unleashes Qwen3‑Coder in agentic workflows with customized prompts, function calling protocols, and seamless integration with Node.js, OpenAI SDKs, and more.
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    Falcon Horizon CSPM
    Falcon Horizon delivers continuous agentless discovery and visibility of cloud-native assets from the host to the cloud, providing valuable context and insights into the overall security posture and the actions required to prevent potential security incidents. Falcon Horizon provides intelligent agentless monitoring of cloud resources to detect misconfigurations, vulnerabilities and security threats, along with guided remediation to resolve security risks and enable developers with guardrails to avoid costly mistakes. Falcon Horizon’s adversary-focused approach provides real-time threat intelligence on 150+ adversary groups, 50+ IOA detections and guided remediation that improves investigation speed by up to 88%, enabling teams to respond faster and stop breaches. Get up and running in minutes and access a single source of truth for all cloud assets and security configurations across multi- cloud environments and accounts.
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    Model Context Protocol (MCP)
    Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.