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mcp-documentation-server

Active·★ 316·MIT·Updated 2026-03-02
★ RAG / Knowledge Base★ Dev Tooling

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

MCP Documentation Server is a TypeScript-based application offering local-first document management and semantic search. It uses an embedded Orama vector database with hybrid search, intelligent chunking, and local AI embeddings for efficient, cloud-independent knowledge base operations.

#TypeScript#MCP Server#Vector Database#Semantic Search#Local AI#Document Management#Hybrid Search#Web Interface
$ Install
$ npx -y @andrea9293/mcp-documentation-server
↗ Visit site★ GitHub
01

Features

01Built-in Web Interface for document management and search
02Hybrid Search combining full-text and vector similarity with Orama
03Local AI Embeddings via @xenova/transformers for privacy and offline use
04Intelligent Parent-Child Chunking for improved context retrieval
05Drag & Drop Uploads for .txt, .md, and .pdf files
02

Compatibility

TypeScript
Language
Verified via docs
Node.js
Runtime
Verified via docs
Web Browser
Interface
Verified via docs
Orama
Database
Verified via docs
Google Gemini AI
Integration
Verified via docs
Cross-platform
OS
Verified via docs
03

Quick start

1
$ npx -y @andrea9293/mcp-documentation-server
04

Use cases

↳Building a local-first knowledge base for personal or team documentation.
↳Enhancing Large Language Model (LLM) context with retrieved document chunks.
↳Performing fast, semantic searches across various document types.
↳Managing and analyzing project documentation without external database or cloud dependencies.
05

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Related searches

mcp-documentation-server AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge Basemcp-documentation-server Tutorialmcp-documentation-server Vs CompetitorsTypeScriptMCP ServerVector Database

Comments

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  • R
    River JacksonMay 17, 2026

    Document management keeps your AI assistant's knowledge current.

  • R
    Robin PatelApr 21, 2026

    Bridges the gap between current library docs and LLM training cutoffs.

  • S
    Shawn ThompsonApr 8, 2026

    Search across managed docs is fast and returns relevant results.

  • P
    Phoenix ZhangApr 4, 2026

    Good for workflows involving rapidly-changing APIs where the model is often wrong.

  • A
    Aspen ChenMar 1, 2026

    Useful for teams maintaining internal documentation that AI needs to reference.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 316
Last commit2mo ago
StatusActive
LicenseMIT
CategoryRAG / Knowledge Base
Trend (30d)
+12.6↑ 0.3%
Links
Documentation↗Discussion↗Issues↗Releases↗

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