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MCP Servers

by jmagar

A centralized repository for Model Context Protocol (MCP) server implementations. The MCP is a protocol for AI assistants to interact with tools, services, and data.

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What is MCP Servers?

This repository serves as a container for various Model Context Protocol (MCP) server implementations. MCP enables AI assistants to interact with external tools and services.

How to use MCP Servers?

Clone the repository using git clone https://github.com/yourusername/mcp.git and initialize submodules with git submodule update --init --recursive. Refer to the README of individual server directories for specific development and usage instructions.

Key features of MCP Servers

  • Modular MCP server implementations

  • Integration with various services (databases, search engines, email, etc.)

  • Submodule-based structure for easy management

  • Extensible architecture for adding new servers

Use cases of MCP Servers

  • Enabling AI assistants to access and manipulate data in databases

  • Integrating search engines into AI workflows

  • Automating email tasks through AI

  • Providing AI with access to local file systems

  • Allowing AI to plan software architectures

FAQ from MCP Servers

What is MCP?

MCP stands for Model Context Protocol, a protocol for AI assistants to interact with tools, services, and data.

How do I contribute to a specific server?

Follow the development setup for the specific server you want to contribute to, make your changes, and submit a pull request.

Where can I find the license information for each server?

Each MCP server maintains its own license. Please check individual server directories for license information.

What are the prerequisites for running these servers?

Generally, you'll need Git with submodule support, Python 3.8+ (for Python-based servers), and Node.js 16+ (for TypeScript-based servers).

How do I update the submodules?

Use the command git submodule update --init --recursive to initialize and update all submodules.