RAG Database Search

v1.0.0Knowledge & Memorystable

Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.

rag-database-mcp-servermcpai-integration
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What is RAG Database Search?

RAG Database Search is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables ai assistants to search and query pdf documents through a local rag system with vector embeddings. provides semantic document search capabilities while keeping all data stored locally without ...

Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.

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

Features

  • Enables AI assistants to search and query PDF documents thro

Use Cases

PDF semantic search
Local knowledge retrieval
Human-center

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx rag-database-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 RAG Database Search

What is RAG Database Search?

RAG Database Search is a Model Context Protocol (MCP) server that enables ai assistants to search and query pdf documents through a local rag system with vector embeddings. provides semantic document search capabilities while keeping all data stored locally without external dependencies. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install RAG Database Search?

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

Which AI clients work with RAG Database Search?

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

Is RAG Database Search free to use?

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

Browse More Knowledge & Memory MCP Servers

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

Quick Config Preview

{ "mcpServers": { "rag-database-mcp-server": { "command": "npx", "args": ["-y", "rag-database-mcp-server"] } } }

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

Read the full setup guide →

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