MCP Servers

MCP Servers

This repository contains a collection of Model Context Protocol (MCP) servers for enhancing AI assistants with custom capabilities. Each subdirectory contains a self-contained MCP implementation for a specific use case.

What are MCPs?

Model Context Protocols (MCPs) allow AI assistants to access external tools, data sources, and capabilities beyond their base knowledge. MCPs enable AI models to:

• Access up-to-date information from external sources
• Perform specialized tasks and calculations
• Access proprietary or private data
• Interface with specific tools and systems

Available MCPs

Great Learning MCP

Located in: great_learning/

The Great Learning MCP enables AI assistants to access and search information about Great Learning's educational courses and programs. Features include:

• Semantic search across Great Learning content
• Detailed information about specific courses
• Course comparison capabilities
• Full access to Great Learning documentation

See Great Learning MCP README

Adding an MCP to Your AI Assistant

To use these MCPs with your AI assistant, add the configuration to your assistant's MCP configuration file:

Supported Platforms

• Cursor: ~/.cursor/mcp.json
• Windsurf: ~/.codeium/windsurf/mcp_config.json
• Claude Desktop: ~/Library/Application\ Support/Claude/claude_desktop_config.json
• Claude Code: ~/.claude.json

Configuration Format

{
    "mcpServers": {
        "great-learning-mcp": {
            "command": "/path/to/python/virtualenv",
            "args": [
                "/path/to/mcp-servers/great_learning/great_learning_mcp.py"
            ]
        }
    }
}

Requirements

• Python 3.12+
• Poetry for dependency management
• Required dependencies per specific MCP

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/mcp-servers.git
   cd mcp-servers
   

2. Install Poetry if you haven't already:

   curl -sSL https://install.python-poetry.org | python3 -
   

3. Install dependencies:

   poetry install
   

4. Install specific requirements for each MCP (see individual READMEs)

Development

To add a new MCP to this repository:

1. Create a new directory for your MCP
2. Implement your MCP using the MCP SDK
3. Add a README.md file with usage instructions
4. Add a mcp_config.json file with configuration details
5. Add any additional required files