RagDocs MCP Server

by mcpflow · ai-ml · mcp-server, glama

Medium setupBest for experimentalTrust score 15/100

Enables semantic search and management of documentation through vector similarity using Qdrant and Ollama/OpenAI embeddings.

Source: https://github.com/mcpflow/ragdocs

Install

git clone https://github.com/mcpflow/ragdocs

Use this forAI-extracted

  • Search and retrieve information from document collections using natural language queries
  • Build a local knowledge base of markdown or text documents for AI-assisted context retrieval
  • Implement semantic search across technical documentation or product manuals

Works with

Claude CodeClaude Desktop

Tags: mcp-server, glama

Source: glama

About ai-ml MCP servers and Claude skills

ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

RagDocs MCP Server is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install RagDocs MCP Server?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support RagDocs MCP Server?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is RagDocs MCP Server free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.