Enables AI agents to semantically search GitHub repository documentation by automatically fetching, vectorizing, and indexing content into an Upstash Vector database. It provides a standard MCP interface for agents to retrieve relevant documentation snippets through natural language queries.
Partial audit · 2/5 dimensions · Audit v1-github · 6d ago · imported from glama ai
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Enables AI agents to semantically search GitHub repository documentation by automatically fetching, vectorizing, and indexing content into an Upstash Vector database. It provides a standard MCP interface for agents to retrieve relevant documentation snippets through natural language queries.
Yes, Docs Vector MCP is completely free to use with no usage limits on the free tier.
Docs Vector MCP is listed under the database category in the AgentForge MCP registry.
Docs Vector MCP has a current uptime of 99.9% with an average response time of 0ms.
To connect Docs Vector MCP, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of Docs Vector MCP's tools via the Model Context Protocol.