vercel-ai-docs-mcp
The Vercel AI SDK Documentation MCP Agent is a server that enhances the capability to query Vercel AI SDK documentation through AI-powered searches. It supports semantic search and natural language processing to provide developers with accurate responses. This project integrates with various AI systems using the Model Context Protocol.
What is the purpose of the Vercel AI SDK Documentation MCP Agent?
The agent provides AI-powered search and querying capabilities for the Vercel AI SDK documentation, allowing developers to receive accurate, contextualized responses to their questions.
How does the session management feature work?
Session management maintains conversation context across multiple queries, allowing for a more coherent and continuous interaction with the documentation.
What should I do if I encounter API rate limits?
Implement appropriate backoff strategies to handle API rate limits and ensure your Google API key is valid and has access to the specified Gemini model.
How can I integrate the MCP server with Claude Desktop?
Add the server configuration to Claude Desktop's settings under the 'Developer' tab, ensuring the path and API key are correctly specified.
What are the prerequisites for setting up the MCP server?
You need Node.js 18+, npm, and a Google API key for Gemini model access to set up the MCP server.