nowfound

Alternatives

Products that do what dotMCP does

A new way to monetize your MCP servers.

  1. 1

    The fast, Pythonic way to build MCP servers and clients

    Jan 2026 · gofastmcp.com

  2. 2
    mcp-use581

    Open source SDK and infra for MCP servers & agents

    2025

  3. 3
    xmcp333

    The framework for building & shipping MCP applications

    2025

  4. 4

    Turn your ideas into full-stack apps

    2025

  5. 5
    RapidMCP234

    Convert your REST API into an MCP Server in minutes!

    2025

  6. 6
    AutoMCP150

    Easily deploy your existing AI agent projects as MCP servers

    2025

  7. 7

    Make AI IDEs even smarter with your team’s knowledge

    Sep 2025

  8. 8

    Open-source MCP playground to test and introspect servers

    Nov 2025

  9. 9

    The Official MCP Bridge to GitHub APIs

    2025

  10. 10
    Disco.dev257

    Plug-and-play open source mcp servers

    2025

  11. 11MS

    2025 · github.com

  12. 12
    0mcp20

    Ship MCP Server for your SaaS without engineering overhead

    17d ago · 0mcp.io

  13. 13

    The easiest way to build MCP servers in TypeScript

    Sep 2025

  14. 14
    UTCP169

    The open, direct alternative to MCP for tool calling

    2025

  15. 15WM
  16. 16MF

    Hey everyone, I've wanted an easy way to control which mcp server tools are available to clients. So for example, I might want a gmail server to only expose the read tool (but not send, delete etc). I figured if I create a cli for spawning mcp servers, I could intercept the stdin, stdout, stderr etc and modify what the clients see when they are making calls to list tools, resources, and prompts. Well it worked! In the initial version you can easily add a server to claude with a safe list of tools: npx -y mcpgod add @modelcontextprotocol/server-everything --client claude --tools=echo,add…

    2025 · github.com

  17. 17

    Instantly create & deploy MCP servers from any API spec

    2025

  18. 18AL

    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

  19. 19AM
  20. 20HM

    2025 · mcp.natoma.id

  21. 21

    An ultra-fast, single-binary MCP server written in Rust as a lightweight alternative to Node.js/Python. - StamManif/mcp-stama

    24d ago · github.com

  22. 22

    MCP Server Producer and Aggregater for Agents

    2025

  23. 23

    Build powerful MCP servers with modern development tools

    2025

  24. 24PT

    I built Polymcp, a framework that allows you to transform any Python function into an MCP (Model Context Protocol) tool ready to be used by AI agents. No rewriting, no complex integrations. Examples Simple function: from polymcp.polymcp_toolkit import expose_tools_http def add(a: int, b: int) -> int: """Add two numbers""" return a + b app = expose_tools_http([add], title="Math Tools") Run with: uvicorn server_mcp:app --reload Now add is exposed via MCP and can be called directly by AI agents. API function: import requests from polymcp.polymcp_toolkit import expose_tools_http def…

    Jan 2026

Ranked by how close each launch is in meaning, then by votes. Refine with a description →