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MCP MongoDB Server

@SFBB

リポジトリ

基本情報

カテゴリ

データベース

ライセンス

MIT

トランスポート

stdio

作者

SFBB

MCP MongoDB Server について

A Model Context Protocol (MCP) server that provides an interface between LLMs and MongoDB databases, optimized for small context windows (3k tokens). Specially for novel.

MCP MongoDB Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-mongodb-novel-server": {
      "command": "python",
      "args": [
        "src/scraper.py",
        "--config",
        "config/settings.json"
      ]
    }
  }
}

MCP MongoDB Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP MongoDB Server?

MCP MongoDB Server is a high-performance Model Context Protocol (MCP) server that provides an efficient knowledge interface between Large Language Models (LLMs) and MongoDB. It is optimized for small context windows (3k tokens) and enables LLMs to retrieve and interact with domain-specific knowledge stored in MongoDB collections.

How to use MCP MongoDB Server?

Clone the repository with submodules, configure a .env file with MONGODB_URI, DATABASE_NAME, and PORT, then build and run with cargo build --release and cargo run --release. After startup, configure your MCP client (e.g., VSCode copilot) to connect via SSE at http://localhost:3000/sse.

Key features of MCP MongoDB Server

  • Dual‑server architecture: SSE‑based MCP and RESTful CRUD API
  • Token‑efficient responses for small LLM context windows
  • Integrated MongoDB query mechanisms and data models
  • Built‑in models for Novels, Chapters, Characters, and Q&A
  • Python scraper submodules for populating databases

Use cases of MCP MongoDB Server

  • Query character details from a novel database via LLM
  • Retrieve novel metadata and chapter summaries with regex search
  • Update chapter summaries using an MCP method with authentication
  • Populate MongoDB from Syosetu, 69Shu, Ximalaya, or Twitter/X timelines

よくある質問

1

What ports does the server use?

The MCP SSE server runs on port 3000, and the CRUD API runs on port 3001 (PORT+1).

2

What data models are supported?

The server includes models for Novels, Chapters, Characters, and Q&A knowledge base entries.

3

How do I update database content?

You can use the RESTful CRUD API endpoints (`/api/novels`, `/api/chapters`, `/api/characters`, `/api/qa`) or MCP methods like `update_chapter_summary` (requires an auth token).

4

What are the runtime dependencies?

You need a Rust toolchain, a running MongoDB instance, and Python 3.7+ if you use the included data scrapers.

5

How does the server communicate with LLMs?

The server exposes an SSE endpoint (`/sse`) for streaming events and a POST endpoint (`/message`) for JSON‑RPC 2.0 commands, both over HTTP.

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