AVS Docs

Verified Integration

Author: @understanding•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect AVS Docs to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "avs-docs": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-avs-docs"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

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

Indexed Date

7/22/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for AVS Docs

AVS Docs is a vector search system designed for semantic document retrieval. It leverages MongoDB Atlas Vector Search for indexing and storage, and Voyage AI for generating advanced contextual embeddings.

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