MCP Database Server

MIT License
  • Apple

Integrations

  • Provides database operations through natural language for MongoDB, including listing collections, querying documents with filtering and projection, inserting documents, deleting documents, and executing aggregate pipeline operations.

  • Planned integration for PostgreSQL database operations, including SQL queries, table operations, and schema management.

  • Planned integration for Redis operations, including key-value operations, caching mechanisms, pub/sub functionality, and data structure operations.

MCP Database Server

A Model Context Protocol (MCP) server implementation that allows Large Language Models (LLMs) to interact with various databases through natural language. Currently supports MongoDB, with plans to support:

  • PostgreSQL
  • CockroachDB
  • Redis
  • And more...

Features

  • Database operations through natural language
  • Currently supports MongoDB with features:
    • List all collections
    • Query documents with filtering and projection
    • Insert documents
    • Delete documents
    • Aggregate pipeline operations
  • Future support for other databases:
    • PostgreSQL: SQL queries, table operations
    • CockroachDB: Distributed SQL operations
    • Redis: Key-value operations, caching

Prerequisites

  • Node.js v20.12.2 or higher
  • Database (currently MongoDB, other databases coming soon)
  • Claude Desktop Application

Installation

  1. Clone the repository:
git clone https://github.com/manpreet2000/mcp-database-server.git cd mcp-database-server
  1. Install dependencies:
npm install
  1. Build the TypeScript code:
npm run build

Configuration

To get started, you need to configure your database connection in your Claude Desktop configuration file:

MacOS

~/Library/Application\ Support/Claude/claude_desktop_config.json

Windows

%APPDATA%/Claude/claude_desktop_config.json

Add the following configuration to your claude_desktop_config.json:

{ "mcpServers": { "database": { "command": "/path/to/node", "args": ["/path/to/mcp-database/dist/index.js"], "env": { "MONGODB_URI": "your-mongodb-connection-string" } } } }

Replace:

  • /path/to/node with your Node.js executable path or just use node
  • /path/to/mcp-database with the absolute path to this repository
  • your-mongodb-connection-string with your MongoDB connection URL

Usage Examples

MongoDB Examples

  1. List all collections in your database:
Can you show me all the collections in my database?
  1. Get specific records from a collection:
Give me 2 records from the chargers collection
  1. Query with filters:
Show me all documents in the users collection where status is active
  1. Insert a document:
Add a new user to the users collection with name John and email john@example.com
  1. Delete a document:
Remove the user with email john@example.com from the users collection
  1. Aggregate data:
Show me the total count of users by status in the users collection

Available Tools

1. getCollections

Lists all collections in the connected database.

2. getCollection

Retrieves documents from a collection with optional query parameters:

  • collectionName: Name of the collection
  • limit: Maximum number of documents to return (default: 10, max: 1000)
  • query: MongoDB query object
  • projection: Fields to include/exclude

3. insertOne

Inserts a single document into a collection:

  • collectionName: Name of the collection
  • document: Document object to insert

4. deleteOne

Deletes a single document from a collection:

  • collectionName: Name of the collection
  • query: Query to match the document to delete

5. aggregate

Executes an aggregation pipeline:

  • collectionName: Name of the collection
  • pipeline: Array of aggregation stages
  • options: Optional aggregation options

Future Database Support

PostgreSQL

  • SQL query execution
  • Table operations
  • Schema management
  • Transaction support

CockroachDB

  • Distributed SQL operations
  • Multi-region support
  • Transaction management
  • Schema operations

Redis

  • Key-value operations
  • Caching mechanisms
  • Pub/sub operations
  • Data structure operations

Security

  • Never commit your database connection strings to version control
  • Use environment variables for sensitive information
  • Follow database-specific security best practices

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

MIT License - See LICENSE for details

-
security - not tested
A
license - permissive license
-
quality - not tested

A Model Context Protocol server that enables LLMs to interact with databases (currently MongoDB) through natural language, supporting operations like querying, inserting, deleting documents, and running aggregation pipelines.

  1. Features
    1. Prerequisites
      1. Installation
        1. Configuration
          1. MacOS
          2. Windows
        2. Usage Examples
          1. MongoDB Examples
        3. Available Tools
          1. 1. getCollections
          2. 2. getCollection
          3. 3. insertOne
          4. 4. deleteOne
          5. 5. aggregate
        4. Future Database Support
          1. PostgreSQL
          2. CockroachDB
          3. Redis
        5. Security
          1. Contributing
            1. License
              ID: 97aex9088e