AVS Document Search

v1.0.0Search & Data Extractionstable

A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.

avs-document-search-systemmcpai-integration
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What is AVS Document Search?

AVS Document Search is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to vector search system that enables semantic retrieval of document chunks using mongodb atlas vector search and voyage ai embeddings, allowing users to search documents by meaning rather than just keywo...

A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.

This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • A vector search system that enables semantic retrieval of do

Use Cases

Search documents semantically using MongoDB Vector Search.
Retrieve document chunks by meaning rather than keywords.
patw

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx avs-document-search-system

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about AVS Document Search

What is AVS Document Search?

AVS Document Search is a Model Context Protocol (MCP) server that vector search system that enables semantic retrieval of document chunks using mongodb atlas vector search and voyage ai embeddings, allowing users to search documents by meaning rather than just keywords. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install AVS Document Search?

Follow the installation instructions on the AVS Document Search GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with AVS Document Search?

AVS Document Search works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is AVS Document Search free to use?

Yes, AVS Document Search is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "avs-document-search-system": { "command": "npx", "args": ["-y", "avs-document-search-system"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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