mcpo

作者 open-webui已验证

A simple, secure MCP-to-OpenAPI proxy server

4,352
Stars
487
Forks
Python
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/open-webui/mcpo

快速入门

使用 mcpo 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

⚡️ mcpo

Expose any MCP tool as an OpenAPI-compatible HTTP server—instantly.

mcpo is a dead-simple proxy that takes an MCP server command and makes it accessible via standard RESTful OpenAPI, so your tools "just work" with LLM agents and apps expecting OpenAPI servers.

No custom protocol. No glue code. No hassle.

🤔 Why Use mcpo Instead of Native MCP?

MCP servers usually speak over raw stdio, which is:

  • 🔓 Inherently insecure
  • ❌ Incompatible with most tools
  • 🧩 Missing standard features like docs, auth, error handling, etc.

mcpo solves all of that—without extra effort:

  • ✅ Works instantly with OpenAPI tools, SDKs, and UIs
  • 🛡 Adds security, stability, and scalability using trusted web standards
  • 🧠 Auto-generates interactive docs for every tool, no config needed
  • 🔌 Uses pure HTTP—no sockets, no glue code, no surprises

What feels like "one more step" is really fewer steps with better outcomes.

mcpo makes your AI tools usable, secure, and interoperable—right now, with zero hassle.

🚀 Quick Usage

We recommend using uv for lightning-fast startup and zero config.

uvx mcpo --port 8000 --api-key "top-secret" -- your_mcp_server_command

Or, if you’re using Python:

pip install mcpo
mcpo --port 8000 --api-key "top-secret" -- your_mcp_server_command

To use an SSE-compatible MCP server, simply specify the server type and endpoint:

mcpo --port 8000 --api-key "top-secret" --server-type "sse" -- http://127.0.0.1:8001/sse

You can also provide headers for the SSE connection:

mcpo --port 8000 --api-key "top-secret" --server-type "sse" --header '{"Authorization": "Bearer token", "X-Custom-Header": "value"}' -- http://127.0.0.1:8001/sse

To use a Streamable HTTP-compatible MCP server, specify the server type and endpoint:

mcpo --port 8000 --api-key "top-secret" --server-type "streamable-http" -- http://127.0.0.1:8002/mcp

You can also run mcpo via Docker with no installation:

docker run -p 8000:8000 ghcr.io/open-webui/mcpo:main --api-key "top-secret" -- your_mcp_server_command

Example:

uvx mcpo --port 8000 --api-key "top-secret" -- uvx mcp-server-time --local-timezone=America/New_York

That’s it. Your MCP tool is now available at http://localhost:8000 with a generated OpenAPI schema — test it live at http://localhost:8000/docs.

🤝 To integrate with Open WebUI after launching the server, check our docs.

🌐 Serving Under a Subpath (--root-path)

If you need to serve mcpo behind a reverse proxy or under a subpath (e.g., /api/mcpo), use the --root-path argument:

mcpo --port 8000 --root-path "/api/mcpo" --api-key "top-secret" -- your_mcp_server_command

All routes will be served under the specified root path, e.g. http://localhost:8000/api/mcpo/memory.

🔄 Using a Config File

You can serve multiple MCP tools via a single config file that follows the Claude Desktop format.

Enable hot-reload mode with --hot-reload to automatically watch your config file for changes and reload servers without downtime:

Start via:

mcpo --config /path/to/config.json

Or with hot-reload enabled:

mcpo --config /path/to/config.json --hot-reload

Example config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    },
    "time": {
      "command": "uvx",
      "args": ["mcp-server-time", "--local-timezone=America/New_York"],
      "disabledTools": ["convert_time"] // Disable specific tools if needed
    },
    "mcp_sse": {
      "type": "sse", // Explicitly define type
      "url": "http://127.0.0.1:8001/sse",
      "headers": {
        "Authorization": "Bearer token",
        "X-Custom-Header": "value"
      }
    },
    "mcp_streamable_http": {
      "type": "streamable-http",
      "url": "http://127.0.0.1:8002/mcp"
    } // Streamable HTTP MCP Server
  }
}

Each tool will be accessible under its own unique route, e.g.:

Each with a dedicated OpenAPI schema and proxy handler. Access full schema UI at: http://localhost:8000/<tool>/docs (e.g. /memory/docs, /time/docs)

🔐 OAuth 2.1 Authentication

mcpo supports OAuth 2.1 authentication for MCP servers that require it. The implementation defaults to dynamic client registration, so most servers only need minimal configuration:

{
  "mcpServers": {
    "oauth-protected-server": {
      "type": "streamable-http",
      "url": "http://localhost:8000/mcp",
      "oauth": {
        "server_url": "http://localhost:8000"
      }
    }
  }
}

OAuth Configuration Options

Basic Options:

  • server_url (required): OAuth server base URL
  • storage_type: "file" (persistent) or "memory" (session-only, default: "file")
  • callback_port: Local port for OAuth callback (default: 3030)
  • use_loopback: Auto-open browser for auth (default: true)

Advanced Options (rarely needed): For servers that don't support dynamic client registration, you can specify static client metadata:

{
  "mcpServers": {
    "legacy-oauth-server": {
      "type": "streamable-http", 
      "url": "http://api.example.com/mcp",
      "oauth": {
        "server_url": "http://api.example.com",
        "client_metadata": {
          "client_name": "My MCPO Client",
          "redirect_uris": ["http://localhost:3030/callback"]
        }
      }
    }
  }
}

Note: Avoid setting scope, authorization_endpoint, or token_endpoint in the config. These are automatically discovered from the server's OAuth metadata during the dynamic registration flow.

On first connection, mcpo will:

  1. Perform dynamic client registration (if supported)
  2. Open your browser for authorization
  3. Capture the OAuth callback automatically
  4. Store tokens securely (in ~/.mcpo/tokens/ for file storage)
  5. Use tokens for all subsequent requests

OAuth is supported for streamable-http server types. See OAUTH_GUIDE.md for detailed documentation.

🔧 Requirements

  • Python 3.8+
  • uv (optional, but highly recommended for performance + packaging)

🛠️ Development & Testing

To contribute or run tests locally:

  1. Set up the environment:

    # Clone the repository
    git clone https://github.com/open-webui/mcpo.git
    cd mcpo
    
    # Install dependencies (including dev dependencies)
    uv sync --dev
    
  2. Run tests:

    uv run pytest
    
  3. Running Locally with Active Changes:

    To run mcpo with your local modifications from a specific branch (e.g., my-feature-branch):

    # Ensure you are on your development branch
    git checkout my-feature-branch
    
    # Make your code changes in the src/mcpo directory or elsewhere
    
    # Run mcpo using uv, which will use your local, modified code
    # This command starts mcpo on port 8000 and proxies your_mcp_server_command
    uv run mcpo --port 8000 -- your_mcp_server_command
    
    # Example with a test MCP server (like mcp-server-time):
    # uv run mcpo --port 8000 -- uvx mcp-server-time --local-timezone=America/New_York
    

    This allows you to test your changes interactively before committing or creating a pull request. Access your locally running mcpo instance at http://localhost:8000 and the auto-generated docs at http://localhost:8000/docs.

🪪 License

MIT

🤝 Contributing

We welcome and strongly encourage contributions from the community!

Whether you're fixing a bug, adding features, improving documentation, or just sharing ideas—your input is incredibly valuable and helps make mcpo better for everyone.

Getting started is easy:

  • Fork the repo
  • Create a new branch
  • Make your changes
  • Open a pull request

Not sure where to start? Feel free to open an issue or ask a question—we’re happy to help you find a good first task.

✨ Star History

Star History Chart

✨ Let's build the future of interoperable AI tooling together!

常见问题

What is mcpo?

mcpo is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by open-webui. A simple, secure MCP-to-OpenAPI proxy server. It has 4,352 GitHub stars.

Is mcpo safe to use?

Yes. mcpo passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install mcpo?

Clone the repository with "git clone https://github.com/open-webui/mcpo" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is mcpo written in?

mcpo is primarily written in Python. It is open-source under open-webui on GitHub, so you can review or fork the full source.

Are there alternatives to mcpo?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh mcpo against similar tools.

评论 (0)

暂无评论,成为第一个分享想法的人!

n8n

by n8n-io

12

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

201,88160,308TypeScript
MCP 服务器apisai-tools
查看详情

Scrapling

by D4Vinci

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

75,9137,581Python
MCP 服务器
查看详情

TrendRadar

by sansan0

⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。

61,65224,883Python
MCP 服务器
查看详情

context7

by upstash

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

61,0602,938TypeScript
MCP 服务器
查看详情

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

39,9393,219C
MCP 服务器
查看详情

开发者还喜欢

基于喜欢此 Skill 的开发者投票和收藏

ECC

by affaan-m

10

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

242,21936,702JavaScript
AI 智能体ai-agentsanthropicclaude-code
查看详情
15

An agentic skills framework & software development methodology that works.

234,96620,863Shell
AI 智能体ai-agentsbrainstorming
查看详情

hermes-agent

by NousResearch

10

The agent that grows with you

234,43747,175Python
AI 智能体ai-agentsagent-orchestration
查看详情

n8n

by n8n-io

12

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

201,88160,308TypeScript
MCP 服务器apisai-tools
查看详情

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

185,94028,768JavaScript
AI 智能体ai-agentsanthropicclaude-code
查看详情

cc-switch

by farion1231

3

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io

128,8688,826Rust
AI 智能体claude-codeai-tools
查看详情