{"repo":"andrea9293/mcp-documentation-server","free":true,"listed":false,"github":"https://github.com/andrea9293/mcp-documentation-server","clone":"git clone https://github.com/andrea9293/mcp-documentation-server.git","description":"MCP Documentation Server - Bridge the AI Knowledge Gap. ✨ Features: Document management • Gemini integration • AI-powered semantic search • File uploads • Smart chunking • Multilingual support • Zero-setup 🎯 Perfect for: New frameworks • API docs • Internal guides","language":"TypeScript","stars":342,"topics":["documents","knowledge-base","mcp-server","gemini","model-context-protocol"],"license":"MIT","category":"mcp-servers","readme_excerpt":"MCP Documentation Server Local-first document management and semantic search for AI coding agents. No external databases, no cloud APIs, no vendor lock-in. Unlike other MCP servers that are CLI-only, this one ships with a full web dashboard — browse, search, upload, and manage your knowledge base from your browser. Every MCP tool is also exposed as a REST API, giving AI agents a lean, schema-free interface. - 🏠 Runs fully offline — Orama vector DB with local AI embeddings (Transformers.js) - 🌐 Built-in Web UI — starts automatically on port 3080 alongside the MCP server - 🔍 Hybrid search — full-text + vector similarity with parent-child chunking - 🤖 Optional AI search — Google Gemini for advanced document analysis (bring your own key) - 📁 Drag & drop uploads — .txt , .md , .pdf support - 📦 Published on the MCP Registry — installable via npx, no clone needed Quick Start Open your browser at http://localhost:3080 — the web UI starts automatically. 🤖 Agent Skill (REST API) — recommended for AI agents Every MCP tool is also accessible via the REST API on http://127.0.0.1:3080/api/ . This is the recommended way to interact from AI agents (Claude Code, OpenCode, Gemini CLI, Cursor) because it avoids loading MCP tool schemas into the conversation context — only the response JSON enters. A ready-to-use skill is included at skills/documentation-server/SKILL.md — it teaches your agent every endpoint with examples. Install it: Basic workflow 1. Add documents using add document or ","default_branch":null,"files":null,"tree":[],"storefront":"/r/andrea9293","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/andrea9293/mcp-documentation-server/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}