About MCP Database Server
MCP Database Server lets LLMs operate databases through natural language, with MongoDB currently supported. It provides tools for browsing collections, querying and changing documents, and running aggregation pipelines.
Key features
- 01List MongoDB collections
- 02Filter and project documents
- 03Insert and delete documents
- 04Run aggregation pipelines
Use cases
- 01Inspect collections in a database
- 02Find documents by criteria
- 03Add or remove collection records
- 04Aggregate and analyze collection data
MCP support
As an MCP server, it exposes MongoDB collection, document query and mutation, and aggregation tools to clients. MongoDB is currently supported; other databases are planned.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP 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
- Clone the repository:
git clone https://github.com/manpreet2000/mcp-database-server.git
cd mcp-database-server
- Install dependencies:
npm install
- 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/nodewith your Node.js executable path or just usenode/path/to/mcp-databasewith the absolute path to this repositoryyour-mongodb-connection-stringwith your MongoDB connection URL
Usage Examples
MongoDB Examples
- List all collections in your database:
Can you show me all the collections in my database?
- Get specific records from a collection:
Give me 2 records from the chargers collection
- Query with filters:
Show me all documents in the users collection where status is active
- Insert a document:
Add a new user to the users collection with name John and email [email protected]
- Delete a document:
Remove the user with email [email protected] from the users collection
- 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 collectionlimit: Maximum number of documents to return (default: 10, max: 1000)query: MongoDB query objectprojection: Fields to include/exclude
3. insertOne
Inserts a single document into a collection:
collectionName: Name of the collectiondocument: Document object to insert
4. deleteOne
Deletes a single document from a collection:
collectionName: Name of the collectionquery: Query to match the document to delete
5. aggregate
Executes an aggregation pipeline:
collectionName: Name of the collectionpipeline: Array of aggregation stagesoptions: 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
Comments
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