Alternatives to Manufact

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

  • 1
    Retool

    Retool

    Retool

    Securely deploy vibe-coded apps in one governed platform. Build in Retool, import from tools like Claude Code, Replit, or Lovable, or connect via MCP. However your team builds, every app ships safely, with governance built in. People across your organization are already vibe-coding internal tools with no SSO, no RBAC, no audit logs, and no connection to your existing data controls. Retool is where secure vibe coding happens by default. Build from scratch, import an app from another AI builder, or connect an agent via MCP — governance lives in the platform, not in each individual app.
    4.6 out of 5 stars 608 Ratings for Retool
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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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    Convo

    Convo

    Convo

    Kanvo provides a drop‑in JavaScript SDK that adds built‑in memory, observability, and resiliency to LangGraph‑based AI agents with zero infrastructure overhead. Without requiring databases or migrations, it lets you plug in a few lines of code to enable persistent memory (storing facts, preferences, and goals), threaded conversations for multi‑user interactions, and real‑time agent observability that logs every message, tool call, and LLM output. Its time‑travel debugging features let you checkpoint, rewind, and restore any agent run state instantly, making workflows reproducible and errors easy to trace. Designed for speed and simplicity, Convo’s lightweight interface and MIT‑licensed SDK deliver production‑ready, debuggable agents out of the box while keeping full control of your data.
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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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    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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    VibeSDK

    VibeSDK

    Cloudflare

    Cloudflare has released VibeSDK, a full-stack, open source vibe coding platform that you can deploy with one click to host your own AI-powered application builder. The platform integrates LLMs (via an AI Gateway) to generate, debug, and iterate code in real time; provides isolated, secure sandboxes (or container-based environments) per user session for executing untrusted code; offers live previews and streaming logs to help users test and troubleshoot as they build; and uses workers for platforms to deploy each generated app at scale, with isolation between tenants. VibeSDK includes project templates, support for export to GitHub or a user’s Cloudflare account, cost and performance observability, caching for repeated requests, and multi-model support through routing across AI providers. It is designed to let teams offer internal or customer-facing “no-code/low-code” platforms, letting non-programmers spin up landing pages, prototypes, or applications from natural language prompts.
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    21st

    21st

    21st.dev

    21st is a developer platform that provides the fastest way to add AI agents directly into applications. The platform offers an SDK that allows developers to define, deploy, and run AI agents with minimal infrastructure setup. Developers can integrate agents using popular frameworks such as Next.js, React, TypeScript, Python, and Node.js. 21st includes built-in features like chat interfaces, session history, tool execution, memory, and real-time streaming responses. The platform also manages backend components such as sandboxed execution environments, authentication, rate limits, and observability. With support for Claude Code and Codex runtimes, developers can build agents that interact with tools, files, and APIs securely. By handling infrastructure and deployment automatically, 21st enables teams to launch production-ready AI agents quickly.
  • 8
    Claude Agent SDK
    The Claude Agent SDK is a developer toolkit that enables the creation of autonomous AI agents powered by Claude, allowing them to perform real-world tasks beyond simple text generation by interacting directly with files, systems, and tools. It provides the same underlying infrastructure used by Claude Code, including an agent loop, context management, and built-in tool execution, and is available for use in Python and TypeScript. With this SDK, developers can build agents that read and write files, execute shell commands, search the web, edit code, and automate complex workflows without needing to implement these capabilities from scratch. It maintains persistent context and state across interactions, enabling agents to operate continuously, reason through multi-step problems, take actions, verify results, and iterate until tasks are completed.
  • 9
    Semantic Kernel
    Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions. Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel because it’s flexible, modular, and observable. Backed with security-enhancing capabilities like telemetry support, hooks, and filters you’ll feel confident you’re delivering responsible AI solutions at scale. Version 1.0+ support across C#, Python, and Java means it’s reliable, and committed to nonbreaking changes. Any existing chat-based APIs are easily expanded to support additional modalities like voice and video. Semantic Kernel was designed to be future-proof, easily connecting your code to the latest AI models evolving with the technology as it advances.
  • 10
    LangChain

    LangChain

    LangChain

    LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.
  • 11
    Transica

    Transica

    Transica

    Transica is a web-based platform for businesses that want their products and services to work through AI assistants. It turns an API specification, an existing MCP server, or endpoints discovered through website exploration into an MCP connector. Teams can approve tools, test behavior against the source website, and check readiness for ChatGPT and Claude directories. Transica prepares submissions; each platform controls directory approval and publication. Paid plans host live connectors, support sign-in with customers' existing accounts, control data-changing tools, and monitor hosting and endpoint health. Other features include browser and connector tests, comparison reports, alerts, and plans for multiple sites and team members. Hosted addresses, custom domains, team capacity, usage limits, and monitoring vary by plan.
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    Genstack

    Genstack

    Genstack

    Genstack is a universal AI SDK and unified API platform designed to simplify how developers access and manage AI models. It eliminates the need to juggle multiple providers by offering a single API interface through which users can apply any available model, configure how they respond, experiment with alternatives, and fine-tune behavior. The platform handles underlying infrastructure like load balancing and prompt management so developers can focus on building. With transparent, usage-based pricing, ranging from pay-per-call in a free tier to cost-effective per-request rates in the Pro tier, Genstack aims to make AI integration straightforward and predictable, enabling developers to switch models, adjust prompts, and deploy with confidence.
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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
  • 14
    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.
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    Composio

    Composio

    Composio

    Composio is a platform that enables AI agents to seamlessly interact with external tools and applications. It provides pre-built integrations with over 1,000 apps, allowing agents to execute tasks across services like Slack, Gmail, GitHub, and more. The platform handles complex processes such as authentication, tool execution, and sandboxed environments automatically. Composio supports dynamic tool selection, ensuring agents use the right tools based on user intent. It also enables secure, parallel execution of workflows in isolated environments. Developers can build agents that move beyond conversation to perform real-world actions. By simplifying integrations and execution, Composio helps turn AI agents into powerful, task-performing systems.
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    Saddle

    Saddle

    PlugPress

    Saddle connects Claude, ChatGPT, Cursor, Codex and other MCP-compatible AI agents to WordPress through a free plugin and optional Saddle Cloud plans. Agents can build and edit pages, manage posts and menus, update SEO fields, review visitor and AI-traffic analytics, and handle site updates. Site owners control agent permissions; connections start read-only, while activity logs, previews for destructive actions and undo help them review changes. Saddle works with WordPress, WooCommerce, Divi 5, Yoast SEO, Rank Math and All in One SEO. The plugin runs on each site's WordPress installation. Saddle Cloud adds multi-site management, monthly agent-call allowances, site health and uptime monitoring, one-click updates and SEO tools. Paid plans support unlimited sites, with features and call limits varying by plan. Saddle is designed for WordPress site owners, agencies, freelancers, developers and content teams using AI-assisted site workflows.
  • 17
    Birta

    Birta

    Birta

    Birta is a hosting and publishing platform for websites built with AI agents and chats. Connect Claude, ChatGPT, Codex, Cursor or another AI tool once, then publish and update sites directly from the conversation without setting up servers, build pipelines or CI. Birta provides secure hosting, version history, one-click rollback, custom domains, automatic HTTPS, visitor analytics, lead collection, multi-project management and MCP integration.
  • 18
    Vercel AI SDK
    The Vercel AI SDK is a free, open source TypeScript toolkit from the creators of Next.js that gives developers unified, high-level primitives to build AI-powered features quickly across any model provider by changing a single line of code. It abstracts common complexities like streaming responses, multi-turn tool execution, error handling and recovery, and model switching while remaining framework-agnostic so builders can go from idea to working application in minutes. With a unified provider API, developers can generate typed objects, compose generative UIs, and deliver instant, streamed AI responses without reinventing plumbing, and the SDK includes documentation, cookbooks, a playground, and community-driven extensibility to accelerate development. It handles the hard parts under the hood while exposing enough control to get under the hood when needed, making integration with multiple LLMs seamless.
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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).
  • 20
    LlamaIndex

    LlamaIndex

    LlamaIndex

    LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs.
  • 21
    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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    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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    Metabind

    Metabind

    Metabind

    Metabind is the native MCP App Platform that lets teams ship an MCP app in minutes by writing BindJS components once and rendering them as native SwiftUI, Jetpack Compose, and React on Claude, ChatGPT, and every MCP host. It gives AI agents a native app surface instead of plain text responses, combining interactive tools, data tools, component packages, schema validation, sandboxed execution, package resolution, and production-ready rendering in one platform. Developers define components once, while content and product teams can manage both content and UI from a single platform, publish changes instantly, and avoid app store deploys for layout or screen updates. Metabind’s native mobile CMS approach extends beyond traditional headless CMS by controlling not only text and images, but also layout definitions, screen composition, and server-driven UI that renders with genuine platform views.
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    Strands Agents

    Strands Agents

    Strands Agents

    Strands Agents is an open-source framework designed to help developers build controllable and flexible AI agents using Python and TypeScript. It enables users to create agents by defining tools as simple functions, eliminating the need for complex workflows or orchestration pipelines. The SDK works with any model and cloud provider, giving developers full freedom in how they deploy and scale their agents. It introduces a streamlined agent loop where the model handles reasoning while developers maintain control through code. Features like steering hooks allow developers to validate and guide agent behavior before and after actions are taken. The platform also includes built-in capabilities such as memory management, observability, and evaluation tools. Overall, Strands Agents SDK simplifies agent development while improving reliability, control, and performance.
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    AppDeploy

    AppDeploy

    AppDeploy

    AppDeploy is chat-native deployment — go from AI chat to deployed app. Tell your current AI chat or agent what to build, AppDeploy.ai makes it real, without leaving the chat or touching infrastructure. Deploy a real, full-stack apps directly from ChatGPT, Claude, Cursor, Gemini, Claude Code, Codex, or any other AI assistant — and get a live URL in seconds, without leaving the chat. No Git, no CLI, no IDE required. Hosting, database, backend services, storage, auth, and AI integrations are handled automatically. Every deploy gives you a live application with a shareable URL — a real deployed app, not a prototype. AppDeploy works for builders of all levels - no setup screens, no technical decisions.
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    OpenAI Agents SDK
    ​The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. The Agents SDK has a very small set of primitives, agents, which are LLMs equipped with instructions and tools; handoffs, which allow agents to delegate to other agents for specific tasks; and guardrails, which enable the inputs to agents to be validated. In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. In addition, the SDK comes with built-in tracing that lets you visualize and debug your agentic flows, evaluate them, and even fine-tune models for your application.
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    MCP Manager

    MCP Manager

    Usercentrics

    MCP Manager is a cloud-based control plane for managing Model Context Protocol (MCP) servers and governing how AI clients access their tools and data. Teams can connect local and remote MCP servers, organize server access for users, apply configurable policies and guardrails, and review activity through centralized logs and usage analytics. The service is designed for organizations deploying AI assistants and agents that need oversight of MCP-based tool use. Administrators can set rules for allowed servers, block or restrict tools and resources, and monitor requests across connected systems. MCP Manager supports integrations with MCP-compatible clients and services, with features for policy enforcement, access management, observability, and security. It is intended for teams that want to manage MCP connections centrally rather than configure every AI client independently.
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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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    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.
    5.0 out of 5 stars 1 Rating for 0mcp
    Starting Price: $19/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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    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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    Ragie

    Ragie

    Ragie

    Ragie streamlines data ingestion, chunking, and multimodal indexing of structured and unstructured data. Connect directly to your own data sources, ensuring your data pipeline is always up-to-date. Built-in advanced features like LLM re-ranking, summary index, entity extraction, flexible filtering, and hybrid semantic and keyword search help you deliver state-of-the-art generative AI. Connect directly to popular data sources like Google Drive, Notion, Confluence, and more. Automatic syncing keeps your data up-to-date, ensuring your application delivers accurate and reliable information. With Ragie connectors, getting your data into your AI application has never been simpler. With just a few clicks, you can access your data where it already lives. Automatic syncing keeps your data up-to-date ensuring your application delivers accurate and reliable information. The first step in a RAG pipeline is to ingest the relevant data. Use Ragie’s simple APIs to upload files directly.
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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.
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    Lantern

    Lantern

    Lantern

    Lantern - Marketing Agents for AI Search Lantern deploys autonomous marketing agents that monitor your brand across ChatGPT, Gemini, Perplexity, and Claude, identify every citation gap where competitors appear and you don't, then research, write, optimise, and publish the content needed to win those citations continuously, without manual effort. Lantern is an agentic platform that does the work. AI agents run end-to-end content pipelines, connect directly to your CMS, and keep your brand visible across every major AI engine while your team focuses on strategy. What Lantern's agents do: Monitor - Track brand mentions, citations, and sentiment across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude in real time Detect gaps - Surface every prompt where competitors are cited and your brand is absent Research and write - Autonomously produce citation-optimised content drawn from multiple intelligence sources Publish - Push content directly to your CMS - WordPress,
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    DeskWink

    DeskWink

    Viva Essence Ltd

    DeskWink connects compatible web-based AI assistants to selected folders on a user's computer through the Model Context Protocol (MCP). A local command-line interface (CLI) pairs with a remote MCP endpoint, allowing clients such as ChatGPT, Claude, and Gemini to browse, read, and search files, and propose edits. DeskWink previews proposed changes for user approval before applying them. Users choose which folders to share, while sensitive paths and files such as .env and .ssh are blocked by default. File contents are not stored in DeskWink's database or logs. DeskWink is in closed beta, with published beta limits of two computers and 5,000 AI actions per month. The service targets developers and other professionals who want AI assistants to work with local project or work folders. A Windows and macOS CLI is documented.
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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.
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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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    HQ

    HQ

    Indigo AI

    HQ is the shared AI context layer for teams, giving the whole team and every AI tool one workspace to work from, with knowledge, skills, and workflows compounding in one place, and any agent running on top. It works as an operating system for AI workers over Claude Code, Cursor, Codex, ChatGPT, and Claude chat through MCP, so every teammate and every agent can start from the same shared context instead of separate chat histories, scattered files, and siloed workflows. HQ turns one person’s best work into team infrastructure: any prompt or workflow can become a reusable /command, then /hq-sync ships it to the whole team so anyone can run it in one step. Knowledge that usually lives across decisions, docs, playbooks, policies, projects, code, and ideas accumulates in HQ as the team works, creating one source of truth that every agent can search, reuse, and build on. Agents can be deployed into email and Slack, acting on top of the team’s skills and knowledge with full context.
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    Nodlume

    Nodlume

    QuokkaQuery

    Nodlume is a visual designer for React applications. Instead of hand-scaffolding every page and component, you design your app's structure on a canvas — pages, components, and API routes — wire them together visually, and export a clean, working Next.js codebase. The output is real, readable code with no proprietary runtime and no lock-in: extend it in your editor, commit it to your repo, and deploy it anywhere. Nodlume sits between design tools and code — faster than scaffolding by hand, without the black box of traditional site builders. Built for developers and teams who want to accelerate the structural phase of building React apps while keeping full ownership of the code.
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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.
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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.
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    Byne

    Byne

    Byne

    Retrieval-augmented generation, agents, and more start building in the cloud and deploying on your server. We charge a flat fee per request. There are two types of requests: document indexation and generation. Document indexation is the addition of a document to your knowledge base. Document indexation, which is the addition of a document to your knowledge base and generation, which creates LLM writing based on your knowledge base RAG. Build a RAG workflow by deploying off-the-shelf components and prototype a system that works for your case. We support many auxiliary features, including reverse tracing of output to documents, and ingestion for many file formats. Enable the LLM to use tools by leveraging Agents. An Agent-powered system can decide which data it needs and search for it. Our implementation of agents provides a simple hosting for execution layers and pre-build agents for many use cases.
    Starting Price: 2¢ per generation request
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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.
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    Voyager SDK

    Voyager SDK

    Axelera AI

    The Voyager SDK is purpose‑built for Computer Vision at the Edge and enables customers to solve their AI business requirements by effortlessly deploying AI on edge devices. Customers use the SDK to bring their applications into the Metis AI platform and run them on Axelera’s powerful Metis AI Processing Unit (AIPU), whether the application is developed using proprietary or standard industry models. The Voyager SDK offers end‑to‑end integration and is API‑compatible with de facto industry standards, unleashing the potential of the Metis AIPU, delivering high‑performance AI that can be deployed quickly and easily. Developers describe their end‑to‑end application pipelines in a simple, human‑readable, high‑level declarative language, YAML, with one or more neural networks and corresponding pre‑ & post‑processing tasks, including sophisticated image processing operations.
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    VibeAgent

    VibeAgent

    Global Agent Studio

    VibeAgent is a cloud-based visual builder for creating and deploying AI agents and automated workflows. Developers, founders, and teams can map workflows on a drag-and-drop canvas, configure agent roles and model settings, and connect triggers, decision logic, tools, and knowledge sources. Workflows can start from schedules, webhooks, form submissions, chat, or other events, then coordinate multi-step actions across connected services. The platform supports models including GPT-4, Claude, Gemini, and open-source models, and can use document-based knowledge sources. Users can deploy agents and monitor performance through analytics dashboards. VibeAgent is intended for teams that want to prototype and operate tool-using agents without building the workflow infrastructure from scratch; available connectors, model access, execution limits, and other features may vary by plan.
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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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    Scaffold

    Scaffold

    Scaffold

    Scaffold is a no-code, embeddable toolkit that enables users to build custom AI tools, quick generators, and contextual chatbots for websites without requiring backend infrastructure or API key management by generating optimized prompts that users send to their own preferred LLMs, such as ChatGPT. It lets creators define form fields, craft prompt templates, and embed AI-powered forms and helpers anywhere via simple embed code, eliminating per-request billing on the platform side, reducing operational complexity, and providing a privacy-friendly approach because the end user controls the AI interaction. Scaffold supports two core modes; AI tools for tasks like creating blog titles, email drafts, product descriptions, or code snippets, and smart agents (contextual chatbots) that answer questions using specific knowledge such as menus, FAQs, study content, or product info.
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    Lamatic.ai

    Lamatic.ai

    Lamatic.ai

    A managed PaaS with a low-code visual builder, VectorDB, and integrations to apps and models for building, testing, and deploying high-performance AI apps on edge. Eliminate costly, error-prone work. Drag and drop models, apps, data, and agents to find what works best. Deploy in under 60 seconds and cut latency in half. Observe, test, and iterate seamlessly. Visibility and tools ensure accuracy and reliability. Make data-driven decisions with request, LLM, and usage reports. See real-time traces by node. Experiments make it easy to optimize everything always embeddings, prompts, models, and more. Everything you need to launch & iterate at scale. Community of bright-minded builders sharing insights, experience & feedback. Distilling the best tips, tricks & techniques for AI application development. An elegant platform to build agentic systems like a team of 100. An intuitive and simple frontend to collaborate and manage AI applications seamlessly.
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    smol developer

    smol developer

    smol developer

    smol-developer is an open-source library that enables developers to integrate a powerful AI-powered "junior developer" agent into their applications. This agent uses natural language processing to generate, scaffold, and assist with the development of code. Unlike conventional approaches, smol-developer allows for a more interactive development process, where the AI agent iterates and refines the code based on feedback, making it ideal for building project-specific scaffolds and automating repetitive tasks. Developers can leverage this tool to speed up the development cycle, create customized codebases, and collaborate with AI on development tasks in real-time.
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    Inspector

    Inspector

    Inspector

    Inspector is an AI-powered visual front-end IDE and editor that connects your browser and local codebase so you can build, iterate, debug, and ship user interfaces faster by merging visual editing with AI coding agents like Cursor, Claude Code, or OpenAI Codex. Instead of bouncing between Figma, DevTools, and your code editor, Inspector lets you click elements visually, drag to move them, edit text directly on the page, and leave comments, then uses AI to apply those changes back to your code automatically with full context from your actual React/HTML/CSS project. It works locally with your codebase so edits are precise and safe, and it also integrates Git workflows like repo initialization and branch management, so you can commit, push, and create pull requests without leaving the visual interface. Inspector offers DOM-aware screenshots, console log capture, element-specific context for better AI understanding, and a chat-style interaction where you can prompt changes.