An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
ragdocumentationvector-searchmcptypescriptknowledge-basesemantic-searchai-contextcontext
Installation & Configuration
{
"rag-docs": {
"command": "npx",
"args": [
"-y",
"@hannesrudolph/mcp-ragdocs"
],
"env": {
"OPENAI_API_KEY": "",
"QDRANT_URL": "",
"QDRANT_API_KEY": ""
}
}
}Information
Transport
stdio
Language
TypeScript
Created
2026/6/12
Updated
2026/6/12