ArcadeAI/arcade-mcp

每日信息看板 · 2026-03-06
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2026-03-06T01:50:13Z
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AI 总结

ArcadeAI 在 GitHub 开源了 arcade-mcp(MIT)作为 MCP Server Framework,提供 CLI 一键生成可运行服务器模板与示例工具,帮助开发者快速按最佳实践构建并部署可连接 AI 助手的 MCP 服务。
#GitHub #repo #开源项目 #MCP #ArcadeAI #Python #CLI

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Arcade MCP Server Framework
**To see example servers built with Arcade MCP Server Framework (this repo), check out our examples**
**To learn more about the Arcade MCP Server Framework (this repo), check out our Arcade MCP documentation**
**To learn more about other offerings from Arcade.dev, check out our documentation.**

_Pst. hey, you, give us a star if you like it!_

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Quick Start: Create a New Server

The fastest way to get started is with the arcade new CLI command, which creates a complete MCP server project:

This generates a project with:
**server.py** - Main server file with MCPApp and example tools
**pyproject.toml** - Dependencies and project configuration
**.env.example** - Example .env file containing a secret required by one of the generated tools in server.py

The generated server.py includes proper command-line argument handling and three example tools:

This approach gives you:
**Complete Project Setup** - Everything you need in one command
**Best Practices** - Proper dependency management with pyproject.toml
**Example Code** - Learn from working examples of common patterns
**Production Ready** - Structured for growth and deployment
Running Your Server

Run your server directly with Python:

Your server will start and listen for connections. With HTTP transport, you can access the API docs at http://127.0.0.1:8000/docs.
Configure MCP Clients

Once your server is running, connect it to your favorite AI assistant:
Installing this Repo from Source
Support and Community
**Discord:** Join our Discord community for real-time support and discussions.
**GitHub:** Contribute or report issues on the Arcade GitHub repository.
**Documentation:** Find in-depth guides and API references at Arcade Documentation.