Model Context Protocol (MCP) is like a USB for AI tools - it provides a standardized way for AI agents to discover and use different capabilities. Think of it as plugging in new abilities for your AI agents! With our flexible dictionary-based implementation, agents can easily discover and use tools without needing to know their implementation details.
The MCP ecosystem is growing rapidly with many powerful servers available:
- Brave Search - Web and local search capabilities
- Filesystem - Complete file and directory operations
- Playwright - Browser automation and web scraping
- MongoDB - Direct database interactions
- Sequential Thinking - Structured reasoning and planning
- FLUX - Image generation and manipulation
- Selenium - Web automation and testing
- SQLite - Local database operations
- Vector Store - Embedding and similarity search
- And many more!
Check out the MCP Servers Repository for the latest list of available servers. The ecosystem is rapidly growing with new capabilities being added regularly!
- Install Requirements:
# Create and activate virtual environment
python -m venv .env
source .env/bin/activate # On Windows: .env\Scripts\activate
# Install required packages
pip install mcp- Configure MCP: