
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Knowledge Management · Search Tools

qpd-v/mcp-ragdocs
A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
npm install -g @qpd-v/mcp-server-ragdocs{
"mcpServers": {
"ragdocs": {
"command": "node",
"args": [
"<value>"
],
"env": {
"QDRANT_URL": "<QDRANT_URL>",
"EMBEDDING_PROVIDER": "<EMBEDDING_PROVIDER>",
"OLLAMA_URL": "<OLLAMA_URL>"
}
}
}
}QDRANT_URLEMBEDDING_PROVIDEROLLAMA_URLOPENAI_API_KEYAdd documentation from URLs or local files
Store documentation in a vector database for semantic search
Search through documentation using natural language
List all documentation sources
add_documentation
search_documentation
list_sources
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

1Panel-dev/MaxKB
MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.

bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).

supermemoryai/supermemory
State-of-the-art memory and context engine for AI.

topoteretes/cognee
Cognee - The Free Open-Source AI Memory Platform for Agents.

makenotion/notion-mcp-server
For the best experience, use Remote Notion MCP, our official hosted MCP server. This repository is a separate, self-hosted MCP server implementation that is no longer actively maintained or supported. Please use Remote Notion MCP instead.

cyberagiinc/devdocs
[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.