What is mcp-toolkit
mcp-toolkit is a versatile Model Context Protocol (MCP) server developed by zxfgds. It's designed to empower AI assistants by enabling them to interact with local systems, files, databases, and external services securely and efficiently. By implementing the MCP, mcp-toolkit extends AI capabilities, allowing them to handle real-world tasks while ensuring security and control. This toolkit is ideal for users looking to integrate AI systems with various data sources and tools, enhancing their ability to process and utilize information in real-time.
How to Use mcp-toolkit
To begin using mcp-toolkit, you need to install it and configure your environment:
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Installation: Use the following command to install mcp-toolkit:
npm install mcp-toolkit
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Configuration: Set up a
config.json
file in your project directory. This file will define your workspace paths, network settings, and database connections. Here’s a basic example:{ "workspace": { "rootPath": "/path/to/workspace", "allowedPaths": ["/allowed/path1", "/allowed/path2"] }, "network": { "proxy": "http://proxy-server:port" }, "database": { "mysql": { "host": "localhost", "port": 3306, "user": "user", "password": "password", "database": "dbname" } } }
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Starting the Server: In your code, you can start the server using:
import { Server } from 'mcp-toolkit'; const server = new Server({ configPath: './config.json' }); server.start();
Key Features of mcp-toolkit
mcp-toolkit offers a variety of powerful features to enhance AI functionality:
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File System Operations: Perform tasks like reading, writing, and searching files. You can also manage directories and extract code definitions.
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Database Integration: Seamlessly connect to MySQL, PostgreSQL, and Redis databases. Manage transactions and execute parameterized queries safely.
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GitHub Integration: Interact with GitHub repositories by managing repositories, searching code, and analyzing the tree structure.
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Web Capabilities: Extract web page content, utilize Brave search, handle HTTP requests, and manage proxy settings for web interactions.
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System Tools: Execute system commands, perform local file searches, analyze stack traces, and use a comprehensive logging system.
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Security: Ensures secure operations through configurable workspace restrictions, command execution controls, and database access management.
mcp-toolkit is designed to be user-friendly while providing extensive functionalities to integrate AI systems with real-world data sources. Whether you’re looking to enhance an AI assistant's capabilities or streamline data access across multiple platforms, mcp-toolkit provides a robust solution.
How to Use
To use the mcp-toolkit, follow these steps:
- Visit https://github.com/zxfgds/mcp-toolkit
- Follow the setup instructions to create an account (if required)
- Connect the MCP server to your Claude Desktop application
- Start using mcp-toolkit capabilities within your Claude conversations
Additional Information
Created
March 4, 2025
Company
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