RagDocs
Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
What is RagDocs?
RagDocs is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides rag capabilities for semantic document search using qdrant vector database and ollama/openai embeddings, allowing users to add, search, list, and delete documentation with metadata support.
Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Provides RAG capabilities for semantic document search using
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ragdocs-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about RagDocs
What is RagDocs?
RagDocs is a Model Context Protocol (MCP) server that provides rag capabilities for semantic document search using qdrant vector database and ollama/openai embeddings, allowing users to add, search, list, and delete documentation with metadata support. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install RagDocs?
Follow the installation instructions on the RagDocs GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with RagDocs?
RagDocs works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is RagDocs free to use?
Yes, RagDocs is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
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Set Up RagDocs 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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