mcp-tool-kit

mcp-tool-kit

3.8

If you are the rightful owner of mcp-tool-kit and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcpreview.com.

The MCP Tool Kit is a modular server implementation designed for building high precision vertical AI agents, reducing code usage by over 50% compared to the Python MCP SDK alone.

The MCP Unified Server offers a comprehensive interface for Claude to interact with a variety of external systems and tools. It supports file system operations, time tools, sequential thinking, web and local search capabilities, browser automation, and access to various APIs like World Bank, News, Yahoo Finance, and FRED. The server is designed to encapsulate domain knowledge, simplify error handling, and enable complex workflows while maintaining conversational flow. It allows for the creation and deployment of autonomous agents that can perform complex tasks, making it a powerful tool for developers looking to integrate AI capabilities into their applications.

Features

  • Reduces Cognitive Load: Simplifies tool call sequences for Claude.
  • Encapsulates Domain Knowledge: Contains domain-specific logic for task execution.
  • Simplifies Error Handling: Manages errors and retries internally.
  • Enables Complex Workflows: Coordinates multi-step processes efficiently.
  • Maintains Conversational Flow: Hides system complexity from users.

Usage with Different Platforms

Docker Deployment

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

docker-compose up

Direct Docker Command

docker 
docker run -p 8000:8000 -v ~/documents:/app/documents getfounded/mcp-tool-kit:latest

Install via pip

bash
pip install mcptoolkit
mcptoolkit-server

Local Server Configuration


{
  "tools": [
    {
      "name": "MCP Toolkit",
      "url": "http://localhost:8000"
    }
  ],
  "settings": {
    "allowed_directories": ["~/Documents", "~/Downloads"],
    "default_tools": ["MCP Toolkit"]
  }
}

Frequently Asked Questions

What should I do if the module is not loading?

Check the import path and dependencies to ensure they are correct.

How do I resolve API key errors?

Verify that your API keys are correctly set in the .env file.

What if I encounter permission errors?

Ensure that the allowed directories are correctly specified in MCP_FILESYSTEM_DIRS.

How can I fix connection errors?

Make sure the server is running and the port is accessible.

What if an agent is not detected?

Verify that the agent file is in the correct directory and follows the required format.