Document Retrieval

v1.0.0Search & Data Extractionstable

Enables AI agents to search and retrieve relevant document content from existing embeddings stored in Supabase vector database. Provides semantic search capabilities to find document chunks based on similarity to query text without generating new emb

document-retrieval-mcp-servermcpai-integration
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What is Document Retrieval?

Document Retrieval is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables ai agents to search and retrieve relevant document content from existing embeddings stored in supabase vector database. provides semantic search capabilities to find document chunks based on s...

Enables AI agents to search and retrieve relevant document content from existing embeddings stored in Supabase vector database. Provides semantic search capabilities to find document chunks based on similarity to query text without generating new emb

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

Features

  • Enables AI agents to search and retrieve relevant document c

Use Cases

Search and retrieve document content from Supabase embeddings.
Perform semantic search without generating new embeddings.
Pramod-Potti-Krishnan

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx document-retrieval-mcp-server

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 Document Retrieval

What is Document Retrieval?

Document Retrieval is a Model Context Protocol (MCP) server that enables ai agents to search and retrieve relevant document content from existing embeddings stored in supabase vector database. provides semantic search capabilities to find document chunks based on similarity to query text without generating new emb It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Document Retrieval?

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

Which AI clients work with Document Retrieval?

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

Is Document Retrieval free to use?

Yes, Document Retrieval 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": { "document-retrieval-mcp-server": { "command": "npx", "args": ["-y", "document-retrieval-mcp-server"] } } }

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

Read the full setup guide →

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