Alternatives

Products that do what MCP Gateway does

Turn APIs into MCP endpoints,without changing a line of code

1. 1
   Higress MCP Marketplace▲121

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   2025

2. 2
   mcp-use▲581

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3. 3
   API to MCP▲195

   Turn any API into an MCP server for AI agents

   Jun 2026 · apitomcp.ai

4. 4
   MCP Builder▲115

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   2025 · mcp.ag2.ai

5. 5
   GitHub MCP Server▲335

   The Official MCP Bridge to GitHub APIs

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6. 6
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   Drop-in MCP Security Developers Love and CISOs Trust

   Mar 2026 · permit.io

7. 7
   co.dev MCP▲299

   Turn your ideas into full-stack apps

   2025

8. 8
   RapidMCP▲234

   Convert your REST API into an MCP Server in minutes!

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9. 9
   MCP Bridge by Appfactor▲211

   Connect any API to any AI agent

   May 2026 · mcp-bridge.ai

10. 10
    Docs2mcp▲29

    Turn any API documentation into a simple hosted MCP server.

    2025

11. 11
    API Hub▲131

    Your central hub for powerful MCP and API solutions

    2025

12. 12
    MCP Playground▲160

    Open-source MCP playground to test and introspect servers

    Nov 2025 · mcpplayground.io

13. 13
    Loop MCP by SimpliflowAI▲141

    The tools Appstore for your AI

    Sep 2025

14. 14
    Disco.dev▲257

    Plug-and-play open source mcp servers

    2025 · disco.dev

15. 15AM
    A MCP server and client implementing the latest spec▲72

    2025 · github.com

16. 16WM
    We made an MCP Server so Cursor can build things from REST API docs▲102

    2025 · npmjs.com

17. 17
    Mcptoon – Token-efficient MCP CLI client▲73

    Zero-dep CLI: one MCP config synced to every agent. A 255-tool listing costs 581 tokens, not 71,929 - schemas never enter context. - activeing123/mcptoon

    28d ago · github.com

18. 18
    MCPTotal▲179

    Secure MCP servers that just work

    Dec 2025 · a16y.ai

19. 19
    N8N2MCP▲137

    Turn your N8N workflow to MCP servers with just 3 clicks

    2025 · github.com

20. 20
    MCP Cloud▲52

    easily run MCP (model context protocol) servers in the cloud

    2025

21. 21MM
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    I'm relatively new to Go, but recently got interested in how MCP servers work. I started thinking about what the architecture of such a project might look like, and decided to build a minimalist version as an experiment. I based it on my past experience writing regular REST API servers and figured it might be useful or interesting to others as well.

    2025 · github.com

22. 22
    Flow▲7

    MCP Cloud

    2025

23. 23M1
    MCP-123, a 2-line MCP server/client (Windows-friendly)▲14

    Got tired of every MCP example being overly verbose, or needing Docker or Mac-only scripts, so I threw together MCP-123. Point it at a tools.py, run `server.run_server(...)`, and the client auto-discovers/calls functions with OpenAI. I hope this is useful to you all.

    2025 · github.com

24. 24AL
    A library to convert+deploy existing agent projects as MCP servers▲22

    Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…

    2025 · github.com

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