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mcp-database-server
mcp server for all types of database that connects with LLMs
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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
- 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/node
with your Node.js executable path or just usenode
-
/path/to/mcp-database
with the absolute path to this repository -
your-mongodb-connection-string
with 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 john@example.com
- Delete a document:
Remove the user with email john@example.com 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 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
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Reviews

user_B3zwPLBV
The Unity MCP Server for Smithery.ai by GrandMasterK414 is an exceptional server solution that has greatly optimized my workflow. The seamless integration and robust performance are impressive, and it has significantly improved my server management experience. Highly recommended!