Alternatives to MCP Manager

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

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    Tyk

    Tyk

    Tyk Technologies

    Tyk is a leading Open Source API Gateway and Management Platform, featuring an API gateway, analytics, developer portal and dashboard. We power billions of transactions for thousands of innovative organisations. By making our capabilities easily accessible to developers, we make it fast, simple and low-risk for big enterprises to manage their APIs, adopt microservices and adopt GraphQL. Whether self-managed, cloud or a hybrid, our unique architecture and capabilities enable large, complex, global organisations to quickly deliver highly secure, highly regulated API-first applications and products that span multiple clouds and geographies.
    Starting Price: $600/month
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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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    Willow

    Willow

    Willow

    Willow is a leading enterprise platform for governing AI agents, tools, MCP servers, skills, and plugins. It connects agents such as Claude, ChatGPT, Cursor, Codex, Gemini, n8n, and custom agents to internal systems and SaaS tools, including Jira, GitHub, Slack, and databases, through an MCP gateway. Agents receive human-linked identities, scoped permissions, and audit trails. Security teams define policies, while employees self-serve approved connectors, skills, and plugins. Features include shadow AI discovery; PII redaction and prompt-injection inspection; app- and action-level permissions; SSO, SCIM, and RBAC with Okta, Entra ID, and JumpCloud; SIEM export; token and cost monitoring; and background agents. Willow is available as SaaS, dedicated cloud, or on-premises in a customer VPC. It holds SOC 2 Type II attestation, is GDPR-ready.
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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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    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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    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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    Axway Amplify
    Axway Amplify Platform is an AI and API platform built for regulated industries. It helps enterprises govern AI, APIs, and integrations across hybrid, cloud, on-premises, and sovereign environments while extending existing technology investments. Amplify Platform combines AI Control Plane, API Management, Integration Fabric, and Engagement Portal capabilities to help organizations govern AI agents, models, and MCP servers; secure and manage APIs; connect applications, data, and workflows; and enable secure discovery and reuse of digital services. The platform provides the security, governance, visibility, and control enterprises need to move AI initiatives from experimentation to production.
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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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    Devart MCP Server Universal
    Devart MCP Server Universal is a self-hosted Windows application that connects AI tools to databases, cloud services, and other ODBC-accessible sources through the Model Context Protocol (MCP). It uses configured ODBC drivers and data source names to route natural-language requests, generate and execute structured queries, and return results to the AI client. A single server can provide access to multiple connected sources, including SQL Server, MySQL, Oracle, PostgreSQL, Salesforce, HubSpot, Dynamics 365, NetSuite, QuickBooks Online, Snowflake, and Zoho services. It supports MCP-compatible clients such as Claude, Cursor, Visual Studio Code, Codex, Windsurf, Cline, and Zed. The server runs within an organization's own environment, giving developers, database administrators, data engineers, analysts, and operations teams a way to query internal business data through their preferred AI tools.
    Starting Price: $99.95/user/month
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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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    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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    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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    Loopthink

    Loopthink

    Loopthink

    Loopthink is a web-based MCP gateway and control plane that lets organizations expose business applications, databases, and REST APIs as tools for AI assistants. It provides prebuilt and custom connectors, routing requests from MCP clients through centralized access policies. Administrators can manage user and tool permissions, authentication, field-level data masking, audit records, and data-loss-prevention rules. Deployment options include Loopthink's managed EU cloud service and self-hosted components for connecting on-premises systems; enterprise options include dedicated or on-premises deployments. Connectors include Salesforce, HubSpot, Google Ads, Google Search Console, PostgreSQL, and Microsoft SQL Server. Teams can use these integrations from AI clients, including Claude and ChatGPT. Plans include a free tier and paid team tiers.
    Starting Price: €19/month
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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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    Cloudflare MCP Server Portals
    Cloudflare MCP Server Portals is a cloud-hosted access layer for organizations using Model Context Protocol (MCP) servers with AI clients. It brings approved remote MCP servers behind a single HTTP endpoint protected by Cloudflare Access, allowing administrators to apply identity-based policies and manage server availability. Administrators can choose which tools and prompts each portal exposes and route requests through Cloudflare Gateway for HTTP logging and data loss prevention inspection. The portal supports OAuth and service-token authentication; Access records tool, prompt, and resource activity. Users connect through MCP clients such as Claude Desktop, Workers AI Playground, OpenCode, or Windsurf. It serves IT and security teams managing internal or SaaS MCP services and authorized employees or agents. Only remote HTTP servers are supported; local stdio-only servers require a separate HTTP endpoint.
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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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    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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    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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    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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    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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    MetaMCP

    MetaMCP

    MetaMCP

    MetaMCP is a self-hosted MCP gateway and web application for developers and teams that need to configure, combine, and manage Model Context Protocol servers. It lets users register MCP servers, organize them into namespaces, select which tools to expose, and publish a unified MCP endpoint. Endpoints can use SSE or Streamable HTTP, with API-key authentication or OAuth; the platform also provides OpenAPI endpoints for compatible clients. Middleware can be applied to MCP requests and responses, and the interface includes configuration and endpoint inspection tools. MetaMCP connects to clients such as Cursor and Claude Desktop, and its OpenAPI endpoints can be used with Open WebUI. The software is deployed with Docker Compose for organizations hosting their own MCP infrastructure.
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    Prefect Horizon
    Prefect Horizon is a managed AI infrastructure platform within the broader Prefect product suite that lets teams deploy, govern, and operate Model Context Protocol (MCP) servers and AI agents at enterprise scale with production-ready features such as managed hosting, authentication, access control, observability, and tool governance. It builds on the FastMCP framework to turn MCP from just a protocol into a platform with four core integrated pillars, Deploy (host and scale MCP servers quickly with CI/CD and monitoring), Registry (a centralized catalog of first-party, third-party, and curated MCP endpoints), Gateway (role-based access control, authentication, and audit logs for secure, governed access to tools), and Agents (permissioned, user-friendly agent interfaces that can be deployed in Horizon, Slack, or exposed over MCP so business users can interact with context-aware AI without needing MCP technical knowledge).
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    Unity AI Gateway
    Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps.
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    AI Gateway HQ

    AI Gateway HQ

    AI Gateway HQ

    AI Gateway HQ is a hosted AI gateway and control plane for organizations connecting applications, coding agents, and automations to model providers. It provides OpenAI- and Anthropic-compatible API endpoints and routes requests through centrally managed provider credentials, model aliases, workload keys, and fallback rules. Administrators can apply identity and access policies, monitor request metadata, set organization and workload budgets, rate and concurrency limits, and review routing, usage, cost, and policy evidence. The service supports bring-your-own provider API credentials and a managed Amazon Bedrock option using prepaid credit. A browser-based console and API support configuration and governed requests; documented client setups include Codex CLI, Claude Code, and OpenCode. Teams use it to coordinate AI access, control model usage and spending, and review operational evidence across applications and environments.
    Starting Price: $499/month
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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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    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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    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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    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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    Easy MCP AI

    Easy MCP AI

    Easy MCP AI

    Easy MCP AI is a WordPress plugin that turns a site into an MCP server, so AI assistants can research, manage, optimize, and analyze WordPress through natural-language conversations. It connects with MCP-compatible clients such as Claude, ChatGPT, Cursor, and other AI tools, exposing WordPress functions as AI-ready tools without requiring Node.js, a proxy, long-running processes, or external infrastructure. It runs entirely in PHP on standard WordPress hosting and provides broad coverage for posts, pages, media, comments, users, categories, tags, menus, plugins, themes, blocks, custom post types, and more. It also adds integrations for WooCommerce, Advanced Custom Fields, BuddyPress, The Events Calendar, major SEO plugins, and data services including Google Analytics 4, Google Search Console, DataForSEO, Semrush, SE Ranking, and Ahrefs. AI assistants can research keywords, plan content, draft and publish posts, update SEO metadata, manage site data, and pull performance insights.
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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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    Plano

    Plano

    Katanemo Labs

    Plano is an AI-native delivery infrastructure platform designed to help organizations build, deploy, and manage agentic applications more efficiently. The platform provides a unified data plane that handles essential AI infrastructure tasks such as agent routing, orchestration, observability, guardrails, and model management. Developers can connect to multiple large language models through a single API while maintaining centralized access controls and operational consistency. Plano supports any programming language or AI framework, allowing teams to integrate it into existing development workflows without vendor lock-in. The platform also provides rich tracing and monitoring capabilities that help teams analyze agent behavior and improve performance over time. By offloading infrastructure complexity, Plano enables developers to focus on creating intelligent agent experiences and accelerating production deployment.
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    LunaRoute

    LunaRoute

    LunaRoute

    LunaRoute is a hosted AI inference gateway and API for developers and teams running coding agents, personal agents, applications, and automations. It routes requests to a curated catalog of open-weight models through OpenAI-compatible and Anthropic-compatible endpoints, with a command-line client and setup guides for connecting coding tools and agent frameworks. Plans provide priority concurrent inference capacity, overflow handling, model access, API keys, usage reporting, and team controls depending on the plan. An optional hosted MCP server provides web search, document conversion with OCR, and image generation and editing. Enterprise offerings add dedicated deployment options, custom routing, and policy controls. LunaRoute is intended for software developers and engineering teams seeking a managed way to connect existing AI clients to model inference.
    Starting Price: $19.99/month
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    Glama

    Glama

    Glama

    Glama.ai is a comprehensive AI workspace and integration platform that offers a unified interface to leading LLM providers, including OpenAI, Anthropic, and others. It supports the Model Context Protocol (MCP) ecosystem, enabling developers and enterprises to easily build, manage, and connect MCP-compatible services with AI agents such as Claude and GPT-4.
    Starting Price: $26/month/user
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    0mcp

    0mcp

    0mcp

    0mcp is a platform for creating, deploying, hosting, managing, and monitoring Model Context Protocol (MCP) servers from existing APIs and OpenAPI specifications. It helps developers, founders, automation builders, and companies make SaaS products, internal tools, custom applications, n8n workflows, and other API-enabled platforms accessible to AI assistants and agents. Users can turn relevant API operations into MCP tools without writing complex server code or managing the complete infrastructure themselves. From one dashboard, users can deploy MCP servers, monitor usage, view analytics, manage configurations, and update servers as their APIs or workflows change. 0mcp is useful when a platform does not provide an official MCP server or when a company wants to expose its internal APIs to AI assistants. Its goal is to reduce development effort and make MCP adoption faster and easier to manage.
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    Enkrypt AI

    Enkrypt AI

    Anaconda

    Enkrypt AI is an agentic AI security and compliance platform designed to protect AI applications, models, agents, and their interactions throughout deployment. The platform combines continuous red teaming, real-time guardrails, monitoring, and policy enforcement to help organizations identify and mitigate AI security, safety, compliance, and brand risks. Enkrypt AI dynamically tests AI systems with use-case-specific attacks to uncover issues such as prompt injection, jailbreaking, data leakage, hallucinations, bias, harmful content, model drift, and unsafe agent actions. Real-time guardrails analyze AI interactions and block threats as they occur while adapting to changing prompts and emerging risks. Its compliance capabilities translate internal policies and external regulations into automated controls while producing evidence that organizations can use for audits and governance.
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    Openlayer

    Openlayer

    Openlayer

    Openlayer is an enterprise AI governance platform that helps organizations discover, test, monitor, secure, and control AI systems from development through production. The platform brings AI evaluation, observability, governance, guardrails, compliance, gateway enforcement, and cost controls together in one place. Teams can evaluate LLMs, agents, RAG applications, and traditional ML systems using 175+ out-of-the-box evaluations across quality, safety, security, performance, cost, fairness, and compliance. In production, Openlayer provides end-to-end tracing and continuous monitoring of AI behavior, including prompts, responses, tool calls, agent workflows, latency, and cost. Real-time guardrails can detect and block issues such as prompt injection, jailbreak attempts, PII or PHI exposure, and other unsafe behavior before it reaches a model or end user. Openlayer Governance connects organizational AI policies to technical controls. Teams can maintain an AI inventory, assign own
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    StackOne

    StackOne

    StackOne

    StackOne is an AI agent integration platform that enables developers and enterprises to connect autonomous AI agents with business applications, data sources, and enterprise workflows. The platform provides more than 570 prebuilt connectors and 35,000 actions across CRM, HR, recruiting, finance, customer support, identity management, and productivity systems. It supports Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, REST APIs, and software development kits for integrating AI agents with external services. Managed authentication handles OAuth, SAML, API keys, and credential management, while granular permissions control which actions and data each agent can access. Its security capabilities include prompt injection detection, audit logging, execution monitoring, and configurable access policies. StackOne also provides AI-assisted connector development, dynamic tool discovery, data synchronization, and token optimization to help organizations deploy and manage agents.
    Starting Price: $600/month
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    TrackMCP

    TrackMCP

    TrackMCP

    Shipped an MCP server but not sure how it’s being used? Use TrackMCP to understand • Who is using your MCP server • Which AI clients connect • How many are new and how many keep coming back • What people are trying to do • Which tools they use, in what order • Whether the work actually gets done • Where the job stops, and what to improve next Add one line to your TypeScript or Python MCP server. TrackMCP takes care of the rest and shows your data in the dashboard right away. We also have a free MCP repository. If you’re building an MCP server, list it there and help people discover it.
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    Apigene

    Apigene

    Apigene

    Apigene MCP Gateway is the runtime layer that connects AI agents to APIs and MCP servers through the Model Context Protocol. It exposes agent tools, context, skills, and instructions as a single remote MCP endpoint that is fully managed and governed, making MCP native rather than experimental. Apigene provides the full agent foundation layer as one MCP Gateway, allowing agents to securely access APIs and MCP servers without custom glue code or framework-specific logic. Teams can build AI agents using chat, defining which APIs and MCP servers the agent can use, how it should reason, and how it should act without code. It supports intelligent tool selection, automatically matching the right API or MCP tool to each request, and multi-platform deployment across ChatGPT, Claude, Cursor, Gemini, VS Code, internal copilots, enterprise AI platforms, and custom apps.
    Starting Price: $200 per month
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    Runlayer

    Runlayer

    Anysource

    Runlayer is an AI control plane for organizations deploying AI agents and related tools across engineering, security, IT, and business teams. It provides a governed catalog of approved MCP servers, connectors, skills, and agents, and routes agent tool calls through a policy-enforcing gateway. Administrators can discover AI clients and MCP activity, review session traces and audit records, and use configurable policies, approvals, and security scanners to monitor or block risky actions. Employees can create agents through supported AI clients using approved tools and scoped permissions, while teams manage adoption and usage. Runlayer connects AI clients, identity providers, device-management systems, and MCP servers, with hosted and self-hosted deployment options. It is designed for companies seeking centralized visibility, governance, and security as they roll out AI agents and workflows.
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    OpenCheese AI

    OpenCheese AI

    OpenCheese AI

    OpenCheese AI is a hosted AI gateway and API for developers who want to connect applications and coding tools to multiple AI models through a unified service. It provides OpenAI-compatible endpoints and an Anthropic Messages-compatible interface, with model selection, API-key management, usage and balance tracking, and access to models from providers including OpenAI, Anthropic, Google, and DeepSeek. Developers can configure supported coding clients and applications to send requests through OpenCheese rather than managing separate provider credentials for each connection. The service offers both credit-based usage and time-limited plans with included balances; available models, rates, and free-model options depend on the selected model and plan. It is intended for developers evaluating or building text, coding, and image-generation workflows with hosted AI models.
    Starting Price: $9.99/month
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    Abliteration.ai

    Abliteration.ai

    Abliteration.ai

    Abliteration.ai is a developer-focused AI platform that provides access to unrestricted large language models combined with a policy control layer, allowing teams to define exactly how models should behave rather than relying on built-in provider restrictions. It offers an OpenAI-compatible API, enabling seamless integration into existing tools, SDKs, and workflows without requiring major changes to infrastructure. Abliteration.ai’s core concept is “unrestricted, not ungoverned,” meaning developers can use less-censored models while enforcing their own rules through a Policy Gateway that applies real-time controls such as allowing, blocking, redacting, or escalating outputs based on custom policies. These policies are written as code and can be audited, simulated, and deployed with features like shadow testing and rollback safeguards. Abliteration.ai supports advanced use cases such as security testing, red teaming, synthetic data generation, and specialized research workflows.
    Starting Price: $20 per month
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    AI Gateway for IBM API Connect
    ​IBM's AI Gateway for API Connect provides a centralized point of control for organizations to access AI services via public APIs, securely connecting various applications to third-party AI APIs both within and outside the organization's infrastructure. It acts as a gatekeeper, managing the flow of data and instructions between components. The AI Gateway offers policies to centrally manage and control the use of AI APIs with applications, along with key analytics and insights to facilitate faster decision-making regarding Large Language Model (LLM) choices. A guided wizard simplifies configuration, enabling developers to gain self-service access to enterprise AI APIs, thereby accelerating the adoption of generative AI responsibly. To prevent unexpected or excessive costs, the AI Gateway allows for limiting request rates within specified durations and caching AI responses. Built-in analytics and dashboards provide visibility into the enterprise-wide use of AI APIs.
    Starting Price: $83 per month
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    Kosmoy

    Kosmoy

    Kosmoy

    Kosmoy is an AI governance and management platform for enterprise AI in production. It connects four layers of control: inventory, monitoring, governance and action control. Register AI systems, models, agents and MCP servers with owners and risk assessments. Monitor usage, costs and behaviour across applications. Apply access controls, guardrails, routing and logging to LLM, MCP and agent-to-agent traffic through an AI Gateway. Use Action Capsule to isolate autonomous agent actions with runtime controls and a kill switch. Deploy in your own Kubernetes environment, in the cloud or on premises. Built for AI platform, security, risk and compliance teams that need shared operational evidence and control.
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    Manufact

    Manufact

    Manufact

    Manufact is a platform to build and deploy MCP apps and servers, giving teams a fast path to the ChatGPT Apps Store, Claude Connectors, and every surface where users and agents already work. The mcp-use SDK is the full-stack MCP framework to develop MCP apps for ChatGPT and Claude, as well as MCP servers for AI agents. Manufact covers every step of the MCP lifecycle with no extra tools: build from an SDK, a skill, or a vibe; deploy with one push; publish with marketplace checklists and generated submission assets; iterate with Cloud Inspector; and monitor with analytics, session replay, traces, error rates, and alerts. Teams can scaffold with the MCP-use SDK, install a skill into a coding agent, describe an app and watch it scaffold, or drop in an existing MCP server unchanged. Manufact Cloud connects to a repo once, then every push auto-deploys, with preview URLs for pull requests, custom domains, and SSL handled.
    Starting Price: $25 per month
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    ApiGo

    ApiGo

    ApiGo

    ApiGo is a hosted AI model gateway for developers and teams building applications with language models. It provides a unified API endpoint for sending requests to supported model providers, with OpenAI-compatible request formats and model selection through a shared interface. The service includes model routing and fallback configuration, API key management, request and usage logs, per-model token pricing, workspace balance controls, and dashboards for reviewing consumption. Developers can use documented setup guides to connect coding assistants and agent tools such as Cursor, Claude Code, Codex CLI, OpenCode, Kimi Code, and OpenClaw. ApiGo is intended for teams that want to manage model-provider access, usage, and billing through one hosted gateway rather than configure each provider separately.
    Starting Price: $0.10/1M input tokens