Documentary MCP Server

Documentary MCP Server

Enables creating, listing, and searching project-based documentation with Markdown content, table of contents, full-text search, and multi-client support via Streamable HTTP transport.

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README

Documentary MCP Server

NestJS + PostgreSQL + @rekog/mcp-nest ile proje bazli dokumantasyon olusturan ve listeleyen MCP sunucusu.

Ozellikler

  • Proje bazli dokumanlar: Her dokuman bir projectName ile gruplanir; backend/frontend gibi farkli agentlar kendi projelerinde calisir.
  • Dokuman olusturma: Markdown icerik, otomatik icindekiler (table of contents) ve slug.
  • Arama: Full-text search (dogal dil) ve regex ile icerik arama.
  • Minimal token kullanimi: get_document tool'unda sectionId ile tek bir bolum okunabilir.
  • Multi-client destek: Streamable HTTP transport ile birden fazla agent ayni anda baglanabilir.

Gereksinimler

  • Node.js 18+
  • PostgreSQL 14+

Kurulum

yarn install
cp .env.example .env
# .env icinde DB_* degerlerini duzenleyin
yarn start:dev
  • Uygulama: http://localhost:3000
  • MCP endpoint: http://localhost:3000/mcp

MCP Araclari (Tools)

Tool Aciklama
list_projects Tum projeleri listeler (proje adi + dokuman sayisi). Ilk adim olarak kullanin.
create_document Belirtilen projede dokuman olusturur. Icerik Markdown; #, ## ile basliklar TOC'e eklenir.
list_documents Bir projedeki dokumanlari listeler (id, title, slug, TOC, tarihler).
search_documents Proje icinde full-text veya regex arama. Snippet doner.
get_document Proje+slug veya id ile tam dokuman icerigi + TOC. sectionId ile tek bolum okunabilir.
get_document_toc Sadece icindekiler; bolum bazli okumak icin get_document ile sectionId kullanilir.

MCP Resource Template

  • URI: mcp://documents/{projectName}/{slug}
  • Tam dokuman: TOC + tum icerik.

Ornek: Backend agent dokumani yazar -> Frontend agent list_projects -> list_documents -> get_document_toc -> get_document ile sectionId vererek sadece ilgili bolumu okur.

Ornek kullanim (agent senaryolari)

  1. Backend agent: create_document ile projectName: "backend-api", baslik ve detayli Markdown icerik gonderir.
  2. Frontend agent: list_projects -> search_documents (projectName: "backend-api", query: "login") -> get_document_toc -> get_document ile sectionId: "login" vererek sadece ilgili bolumu okur.

Ortam degiskenleri

Degisken Varsayilan Aciklama
PORT 3000 HTTP portu
DB_HOST localhost PostgreSQL host
DB_PORT 5432 PostgreSQL port
DB_USER postgres Kullanici
DB_PASSWORD postgres Sifre
DB_NAME documentary_mcp Veritabani adi
DB_LOGGING false SQL loglama
MCP_API_KEY (bos) Tanimliysa MCP endpoint'i API_KEY veya Authorization: Bearer header ile korunur

Docker ile calistirma

Sunucuyu bilgisayarinizda surekli calisir halde tutmak icin Docker Compose kullanin:

cp .env.example .env
# Istege bagli: MCP_API_KEY=your-secret-key
docker compose up -d --build
  • Uygulama: http://localhost:3000
  • MCP: http://localhost:3000/mcp
  • Veritabani verisi postgres_data volume'da kalir.

Durdurmak: docker compose down

Cursor MCP ayari

Remote Server (HTTP - onerilen)

Sunucu Docker veya yarn start:dev ile calisiyorken Cursor'da Remote Server olarak ekleyin. ~/.cursor/mcp.json:

{
  "mcpServers": {
    "documentary": {
      "url": "http://localhost:3027/mcp"
    }
  }
}

MCP_API_KEY kullaniyorsaniz headers ekleyin:

{
  "mcpServers": {
    "documentary": {
      "url": "http://localhost:3027/mcp",
      "headers": {
        "API_KEY": "your-secret-key"
      }
    }
  }
}

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