Knowledge Management · Search Tools

Avs Docs MCP

patw/avs-docs-mcp

A vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings. Sample data included is for Atlas Vector Search!

Install

Client configuration

{
  "mcpServers": {
    "Atlas Vector Search Docs": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "fastmcp, pymongo, requests",
        "fastmcp",
        "run",
        "<path to>/avs-docs-mcp/avs-mcp.py"
      ]
    }
  }
}
Author
@patw
Category
Knowledge Management, Search Tools
License
MIT
Updated
Oct 6, 2026

About Avs Docs MCP

A vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.

Sample data included is for Atlas Vector Search!

Features

  • Ingests and chunks markdown documents with hierarchical headers

  • Generates embeddings using Voyage AI's contextual embeddings API

  • Stores documents and embeddings in MongoDB with parent-child relationships

  • Provides a FastMCP server for semantic document search

  • Supports configurable vector dimensions and chunking strategies

  • search_documents_vector(query: str, limit: int = 5)

  • search_documents_lexicaly(query: str, limit: int = 1)

  • get_parent_document(parent_id: str)

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

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