MCP MongoDB Server

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

🚀 Features

Dual-Server Architecture:
SSE-based MCP server for efficient LLM communication
RESTful CRUD API for database management

Token Efficiency: Responses formatted for maximum information density within small context windows

MongoDB Integration: Works with existing MongoDB collections with optimized query mechanisms

Data Models for multiple domain-specific entities:
Novels
Chapters
Characters
Q&A Knowledge Base

Python Scraper Integrations: Included as submodules for populating databases from various sources

🔧 Architecture

code

┌───────────────────┐
                    │                   │
                    │     Language      │
                    │      Models       │
                    │                   │
                    └─────────┬─────────┘
                              │
                              │ MCP (JSON-RPC 2.0)
                              ▼
┌─────────────────────────────────────────────────────┐
│                                                     │
│  ┌─────────────────┐           ┌─────────────────┐  │
│  │                 │           │                 │  │
│  │   SSE Server    │◄────────►│   MCP Handler   │  │
│  │  (Port 3000)    │           │                 │  │
│  └─────────────────┘           └────────┬────────┘  │
│                                         │           │
│                                         ▼           │
│                                ┌────────────────┐   │
│  ┌─────────────────┐           │                │   │
│  │                 │           │  DB Services   │   │
│  │   CRUD API      │◄────────►│                │   │
│  │  (Port 3001)    │           └────────────────┘   │
│  └─────────────────┘                   │           │
│                                         │           │
└─────────────────────────────────────────┼───────────┘
                                          │
                                          ▼
                                 ┌─────────────────┐
                                 │                 │
                                 │    MongoDB      │
                                 │                 │
                                 └─────────────────┘

🏁 Getting Started

Prerequisites

Rust (latest stable toolchain)
MongoDB instance
Python 3.7+ (for data scrapers)

Installation

1. Clone the repository with submodules:

bash

git clone --recursive https://github.com/SFBB/mcp-mongodb-novel-server.git
   cd mcp-mongodb-novel-server

2. Configure environment:

Create a .env file in the project root:

code

MONGODB_URI=mongodb://localhost:27017
   DATABASE_NAME=your_database
   PORT=3000  # Base port (MCP SSE server)
               # CRUD API will use PORT+1 (3001)

3. Build and run:

bash

cargo build --release
   cargo run --release

Upon successful startup, you'll see:

MCP SSE endpoint available at http://127.0.0.1:3000/sse
MCP POST endpoint available at http://127.0.0.1:3000/message
CRUD API endpoints available at http://127.0.0.1:3001/api/...

Usage

You firstly need to run this server. Then configure your client based on JSON-RPC or SSE.

This is an exmaple setup for VSCode copilot client.

JSON

"mcp-mongodb-novel-server": {
    "type": "sse",
    "url": "http://localhost:3000/sse"
}

🔌 Server Endpoints

1. MCP Server (SSE Protocol)

The MCP server provides two endpoints:

SSE Endpoint: http://localhost:3000/sse
For establishing SSE connections to receive events
POST Endpoint: http://localhost:3000/message
For sending JSON-RPC 2.0 formatted commands

Example MCP request (using POST to /message):

json

{
  "jsonrpc": "2.0",
  "id": "request-1",
  "method": "query_character",
  "params": {
    "character_id": "5f8e4c3b2a1d"
  }
}

2. CRUD API (REST)

The CRUD API provides RESTful endpoints for managing database content:

Novels: /api/novels
Chapters: /api/chapters
Characters: /api/characters
Q&A: /api/qa

Standard REST operations (GET, POST, PATCH, DELETE) are supported.

📊 Data Models

Novels

json

{
  "_id": "ObjectId",
  "title": "String",
  "author": "String",
  "summary": "String",
  "year": "Number",
  "tags": ["String"]
}

Chapters

json

{
  "_id": "ObjectId",
  "novel_id": "ObjectId",
  "title": "String",
  "chapter_number": "Number",
  "summary": "String",
  "content": "String",
  "word_count": "Number"
}

Characters

json

{
  "_id": "ObjectId",
  "novel_id": "ObjectId",
  "name": "String",
  "description": "String",
  "traits": ["String"],
  "relationships": [
    {
      "character_id": "ObjectId",
      "type": "String"
    }
  ]
}

Q&A

json

{
  "_id": "ObjectId",
  "question": "String",
  "answer": "String",
  "tags": ["String"],
  "novel_id": "ObjectId"
}

🤖 MCP Methods

The server supports the following MCP methods for LLM interaction:

Query Methods

Method	Description	Parameters
`query_character`	Get character details	`{"character_id": "string"}`
`query_novel`	Get novel metadata	`{"novel_id": "string"}`
`query_chapter`	Get chapter information	`{"chapter_id": "string"}` or `{"chapter_number": number}` or `{"chapter_title": "string"}`
`query_qa_regex`	Find Q&A entries by regex	`{"regex_pattern": "string"}`
`query_chapter_regex`	Find chapters by regex	`{"regex_pattern": "string"}`
`query_character_regex`	Find characters by regex	`{"regex_pattern": "string"}`

Update Methods

Method	Description	Parameters
`update_chapter_summary`	Update chapter summary	`{"auth_token": "string", "chapter_id": "string", "summary": "string"}`

📥 Data Population

This project includes Python scrapers as submodules to help populate your MongoDB:

Character Scraper

bash

cd character-scraper
pip install -r requirements.txt
python src/scraper.py --config config/settings.json

Novel Scraper Library

bash

cd scraper_library
pip install -r requirements.txt
python -m src.scrapers.scrape_syosetu --url

Available scrapers include:

scrape_syosetu.py (Syosetu novels)
scrape_69shu.py (69Shu novels)
scrape_ximalaya.py (Ximalaya audio books)
scrape_qa.py (Q&A content)
scrape_x_timeline.py (Twitter/X timelines)
And more...

🛠️ Development

Updating Submodules

bash

# Update all submodules to their latest version
git submodule update --remote --merge

# Navigate to a specific submodule and pull changes
cd scraper_library
git pull origin main
cd ..
git add scraper_library
git commit -m "Update scraper_library"

Running Tests

bash

cargo test

Code Style

This project follows Rust's standard code style guidelines:

bash

# Check code formatting
cargo fmt -- --check

# Run linting
cargo clippy

Performance Tuning

For high-traffic deployments, consider:

1. MongoDB indexing for text search and relationships

2. Increase Tokio worker threads for CPU-bound operations

3. Configure MongoDB connection pooling

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

Mcp Mongodb Novel Server

Documentation

MCP MongoDB Server

🚀 Features

🔧 Architecture

🏁 Getting Started

Prerequisites

Installation

Usage

🔌 Server Endpoints

1. MCP Server (SSE Protocol)

2. CRUD API (REST)

📊 Data Models

Novels

Chapters

Characters

Q&A

🤖 MCP Methods

Query Methods

Update Methods

📥 Data Population

Character Scraper

Novel Scraper Library

🛠️ Development

Updating Submodules

Running Tests

Code Style

Performance Tuning

📄 License

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