mcp-tool-kit

作者 getfounded已验证

Agentic abstraction layer for building high precision vertical AI agents written in python for Model Context Protocol.

109
Stars
20
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/getfounded/mcp-tool-kit

快速入门

使用 mcp-tool-kit 等 Skills 的指南。

安全报告

已验证

上次扫描:—

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

README.md

MCP Tool Kit

A comprehensive toolkit for the Model Context Protocol (MCP) with automatic tool discovery and multiple transport options.

PyPI version Python versions License

📚 Official Documentation | 🌐 Website | 💬 Community

🚀 Built by UsefulAI | 📖 From GitHub to Commercial Success

🚀 Quick Install - No Git Required!

Choose your platform and run ONE command:

🖥️ Windows (PowerShell)

irm https://raw.githubusercontent.com/getfounded/mcp-tool-kit/main/install.ps1 | iex

🍎 macOS (Terminal)

bash <(curl -s https://raw.githubusercontent.com/getfounded/mcp-tool-kit/main/install.sh)

🐧 Linux (Terminal)

bash <(wget -qO- https://raw.githubusercontent.com/getfounded/mcp-tool-kit/main/install.sh)

That's it! The installer will:

  • ✅ Download MCP Tool Kit (no Git needed!)

  • ✅ Check for Docker (helps install if missing)

  • ✅ Create desktop shortcuts

  • ✅ Set up everything automatically

📦 Alternative Installation Methods

Download the latest release:

Extract and run:

  • Windows: Run install.bat

  • Mac/Linux: Run ./install.sh

Clone the repository

git clone https://github.com/getfounded/mcp-tool-kit.git
cd mcp-tool-kit

Run the launcher

  • Windows: Double-click launch.bat

  • Mac/Linux: Run ./launch.sh

docker run -it --name mcp-toolkit ghcr.io/getfounded/mcp-tool-kit:latest

🔧 Features

Dynamic Tool Registration

Tools are automatically discovered and registered at runtime - no manual configuration needed!

Multiple Transport Options

  • stdio: For Claude Desktop integration

  • SSE (Server-Sent Events): For web-based access

120+ Available Tools

  • 📁 File System: Read, write, and manage files

  • 🕐 Time Tools: Timezone conversions and time operations

  • 🌐 Web Search: Brave Search integration

  • 🤖 Browser Automation: Playwright-based browser control

  • 📊 Data Analysis: Yahoo Finance, FRED, World Bank data

  • 📄 Document Tools: PDF, Excel, PowerPoint manipulation

  • 🎯 And many more!

Easy Configuration

Control everything through a simple config.yaml file:

enabled_tools:
  filesystem: true
  time_tools: true
  brave_search: true
  # ... more tools

tool_config:
  filesystem:
    allowed_directories: ["~/Documents", "~/Downloads"]
  brave_search:
    max_results: 10

📋 Environment Setup

  • Copy .env.template to .env

  • Add your API keys:

BRAVE_SEARCH_API_KEY=your_key_here
NEWS_API_KEY=your_key_here
FRED_API_KEY=your_key_here
# ... other keys

💾 Storage Setup

MCP Tool Kit uses a dedicated storage directory for file operations:

  • Windows: C:\Users\{Username}\mcp-tool-kit-storage

  • Mac/Linux: ~/mcp-tool-kit-storage

Automatic Setup

The storage directory is automatically created when you first run the Docker container. You can also manually set it up:

Windows (PowerShell):

.\scripts\setup-storage.ps1

Mac/Linux:

./scripts/setup-storage.sh

Storage Structure

mcp-tool-kit-storage/
├── documents/     # For document files
├── downloads/     # For downloaded files
└── workspace/     # For temporary work files

All file operations through the filesystem tool will be restricted to this directory for security.

🔌 Connecting to Claude Desktop

  • Start the server in stdio mode using the launcher

  • Add to Claude Desktop configuration:

{
  "mcpServers": {
    "mcp-tool-kit": {
      "command": "docker",
      "args": ["exec", "-i", "mcp-server", "python", "mcp_server_v2.py"]
    }
  }
}

🌐 Using SSE Mode

  • Start the server in SSE mode using the launcher

  • Access the server at http://localhost:8080

  • Use the SSE endpoints:

  • /sse - Server-Sent Events stream

  • /messages - Send messages to the server

🛠️ Creating Custom Tools

Tools now use a standardized base class system:

from app.tools.base_tool import BaseTool

class MyCustomTool(BaseTool):
    def get_name(self) -> str:
        return "My Custom Tool"
        
    def get_tools(self) -> Dict[str, Callable]:
        return {
            "my_function": self.my_function
        }
        
    async def my_function(self, param: str, ctx: Context = None) -> str:
        return f"Processed: {param}"

See the developer documentation for detailed guides.

📚 Documentation

Full documentation is available at https://docs.mcp-tool-kit.com.

To run documentation locally:

  • cd docs

  • npm install

  • npm start

🐳 Docker Commands

Using the Launcher (Recommended)

The launcher scripts handle all Docker operations automatically.

Manual Commands

# Start server
docker-compose up -d

# View logs
docker-compose logs -f

# Stop server
docker-compose down

# Rebuild after changes
docker-compose build --no-cache

🤝 Contributing

  • Fork the repository

  • Create your feature branch

  • Add your tool to app/tools/

  • Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support

常见问题

What is mcp-tool-kit?

mcp-tool-kit is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by getfounded. Agentic abstraction layer for building high precision vertical AI agents written in python for Model Context Protocol. It has 109 GitHub stars.

Is mcp-tool-kit safe to use?

Yes. mcp-tool-kit 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 mcp-tool-kit?

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

What programming language is mcp-tool-kit written in?

mcp-tool-kit is primarily written in Python. It is open-source under getfounded on GitHub, so you can review or fork the full source.

Are there alternatives to mcp-tool-kit?

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

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