Calibre RAG

v1.0.0Knowledge & Memorystable

Enables semantic search and contextual conversations with your Calibre ebook library using vector-based RAG technology. Supports project-based organization, multi-format book processing, and OCR capabilities for enhanced content extraction and retrie

calibre-rag-mcp-servermcpai-integration
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What is Calibre RAG?

Calibre RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables semantic search and contextual conversations with your calibre ebook library using vector-based rag technology. supports project-based organization, multi-format book processing, and ocr capab...

Enables semantic search and contextual conversations with your Calibre ebook library using vector-based RAG technology. Supports project-based organization, multi-format book processing, and OCR capabilities for enhanced content extraction and retrie

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

Features

  • Enables semantic search and contextual conversations with yo

Use Cases

Search ebook libraries with semantic understanding using vector-based RAG. Perform contextual conversations about book content with OCR support.
ispyridis

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx calibre-rag-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 Calibre RAG

What is Calibre RAG?

Calibre RAG is a Model Context Protocol (MCP) server that enables semantic search and contextual conversations with your calibre ebook library using vector-based rag technology. supports project-based organization, multi-format book processing, and ocr capabilities for enhanced content extraction and retrie It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Calibre RAG?

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

Which AI clients work with Calibre RAG?

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

Is Calibre RAG free to use?

Yes, Calibre RAG 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": { "calibre-rag-mcp-server": { "command": "npx", "args": ["-y", "calibre-rag-mcp-server"] } } }

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

Read the full setup guide →

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