Local RAG Backend
A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts usin
What is Local RAG Backend?
Local RAG Backend is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to docker-based local rag backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the model context protocol. it supports over 28 file formats and tra...
A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts usin
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Docker-based local RAG backend that provides advanced docu
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx local-rag-backendConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Local RAG Backend
What is Local RAG Backend?
Local RAG Backend is a Model Context Protocol (MCP) server that docker-based local rag backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the model context protocol. it supports over 28 file formats and tracks evolving relationships between concepts usin It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Local RAG Backend?
Follow the installation instructions on the Local RAG Backend GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Local RAG Backend?
Local RAG Backend works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Local RAG Backend free to use?
Yes, Local RAG Backend is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
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Set Up Local RAG Backend in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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