Overview
What is MCP?
The Model Context Protocol (MCP) is a standard for building AI applications that can interact with external tools and APIs. It consists of two main components:
- MCP Server: A Python service that defines and exposes tools/functions that can be called by AI models.
- MCP Client: A TypeScript/JavaScript client that connects to the MCP server and manages interactions between AI models and tools.
How to use MCP?
To use MCP, set up the server and client by following the provided instructions, including installing dependencies and configuring environment variables. Once set up, you can run the server and client to start using the API.
Key features of MCP?
- Documentation Search Tool: Search documentation for popular AI libraries like LangChain and OpenAI.
- Conversation Management: Maintains chat history per session.
- Tool Integration: Seamlessly integrates AI model responses with tool calls.
- Error Handling: Robust error handling for API calls and tool execution.
Use cases of MCP?
- Building AI applications that require external tool integration.
- Managing conversations and maintaining context in chat applications.
- Searching documentation for AI libraries and tools.
FAQ from MCP?
- Can MCP be used with any AI model?
Yes! MCP is designed to work with various AI models that can interact with external tools.
- Is MCP free to use?
Yes! MCP is open-source and free to use.
- What are the prerequisites for using MCP?
You need Python 3.11 or higher, Node.js 18 or higher, and API keys for Hugging Face and Serper.