- Vercel Ai Docs
Vercel Ai Docs
what is Vercel AI Docs?
Vercel AI Docs is a Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation, enabling developers to ask questions and receive accurate, contextualized responses.
how to use Vercel AI Docs?
To use Vercel AI Docs, clone the repository, install dependencies, set up environment variables, and start the MCP server. You can then integrate it with AI assistants like Claude Desktop or Cursor.
key features of Vercel AI Docs?
- Direct documentation search using similarity search
- AI-powered agent for natural language questions
- Session management for conversation context
- Automated indexing of the latest documentation
use cases of Vercel AI Docs?
- Developers querying the Vercel AI SDK documentation for specific functions.
- Integrating with AI assistants for enhanced documentation interaction.
- Maintaining context in conversations about SDK usage.
FAQ from Vercel AI Docs?
- Can I use Vercel AI Docs with any MCP client?
Yes! It is compatible with any client that implements the Model Context Protocol.
- What are the prerequisites for running Vercel AI Docs?
You need Node.js 18+, npm, and a Google API key for the Gemini model.
- How do I troubleshoot common issues?
Common issues include index not found errors and API rate limits; refer to the documentation for solutions.
Server Config
{
"mcpServers": {
"vercel-ai-docs": {
"command": "node",
"args": [
"ABSOLUTE_PATH_TO_PROJECT/dist/main.js"
],
"env": {
"GOOGLE_GENERATIVE_AI_API_KEY": "your-google-api-key-here"
}
}
}
}