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MCP MongoDB Server

@SFBB

Repository

Basic information

Category

Databases

License

MIT

Transports

stdio

Author

SFBB

About MCP MongoDB Server

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 config

Add this server to your MCP-compatible client using the configuration below.

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

MCP MongoDB Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

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