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MCP Dbs: Instant SQL Integration, No Coding - MCP Implementation

MCP Dbs: Instant SQL Integration, No Coding

MCP Dbs: Supercharge your LLMs with instant SQL database (SQLite/PostgreSQL/SQL Server) integration. Effortless data access, smarter AI – no coding headache." )

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About MCP Dbs

What is MCP Dbs: Instant SQL Integration, No Coding?

MCP Dbs is a Model Context Protocol (MCP) implementation designed to simplify database interactions without requiring manual coding. It enables seamless connectivity and operations across SQLite, PostgreSQL, Microsoft SQL Server, and MongoDB. The tool provides real-time query execution, schema exploration, and resource management through standardized MCP interfaces, making database workflows accessible even for non-developers.

How to Use MCP Dbs: Instant SQL Integration, No Coding?

Getting started is straightforward:

  1. Install Globally: Use npm install -g mcp-dbs to set up the package.
  2. Select a Mode: Choose between SSE (default HTTP server on port 3001) or STDIO for CLI tools via npx mcp-dbs --stdio.
  3. Integrate with Tools: For example, configure Claude Desktop by specifying the CLI path and environment variables in your configuration file.

Once running, use MCP tools like execute-query or database-schema to interact with your databases directly.

MCP Dbs Features

Key Features of MCP Dbs: Instant SQL Integration, No Coding?

  • Zero-Code Connectivity: Connect to supported databases via MCP without writing boilerplate code.
  • Flexible Query Execution: Run SQL or MongoDB commands with parameterized inputs, supporting both result-returning and update operations.
  • Schema Insights: Retrieve detailed table structures and database-wide schemas via predefined resources.
  • Environment Variable Configuration: Securely manage credentials and connection details through environment variables for all supported databases.
  • Multi-Mode Operation: Switch between SSE-based HTTP endpoints or direct STDIO integration with tools like Claude Desktop.

Use Cases of MCP Dbs: Instant SQL Integration, No Coding?

Typical scenarios include:

  • Data Exploration: Rapidly query and visualize database structures using schema resources.
  • Automated Workflows: Integrate with AI tools like Claude Desktop to automate data analysis tasks.
  • Development Prototyping: Test SQL/MongoDB queries without setting up complex server configurations.
  • Multi-Database Support: Maintain a unified interface for projects relying on multiple database systems.

MCP Dbs FAQ

FAQ from MCP Dbs: Instant SQL Integration, No Coding?

Q: Can I use MCP Dbs with cloud databases?
A: Yes, configure environment variables with your cloud DB host, credentials, and SSL settings.

Q: How do I handle sensitive credentials?
A: Store connection details in environment variables (e.g., MCP_POSTGRES_PASSWORD) instead of hardcoding them.

Q: What if my database isn't listed?
A: MCP Dbs currently supports SQLite, PostgreSQL, SQL Server, and MongoDB. Future updates may expand this list.

Q: Can I run multiple database connections simultaneously?
A: Yes, assign unique connectionId values when using the connect-database tool for each instance.

Content

MCP Database Server

A Model Context Protocol (MCP) implementation for connecting to and working with various database systems.

Supported Databases

  • SQLite
  • PostgreSQL
  • Microsoft SQL Server
  • MongoDB

Installation

npm install -g mcp-dbs

Usage

The MCP Database Server can be used in two modes:

SSE Mode (Default)

By default, the server runs in SSE (Server-Sent Events) mode on port 3001:

npx mcp-dbs

This will start an HTTP server with an SSE endpoint at http://localhost:3001/mcp.

Custom Port

You can specify a custom port using the --port option:

npx mcp-dbs --port 8080

STDIO Mode

For tools that communicate over standard input/output, you can use the --stdio option:

npx mcp-dbs --stdio

Claude Desktop Integration

You can integrate mcp-dbs with Claude Desktop by adding it to your Claude configuration file.

Configuration Steps

  1. Open or create your Claude Desktop configuration file
  2. Add the mcp-dbs configuration to the mcpServers section:
{
  "mcpServers": {
    "mcp-dbs": {
      "command": "node",
      "args": [
        "/path/to/your/mcp-dbs/dist/cli.js",
        "--stdio"
      ],
      "env": {
        "MCP_MONGODB_URI": "mongodb://localhost:27017",
        "MCP_MONGODB_DATABASE": "your-database-name"
      }
    }
  }
}

Replace the environment variables with your own database connection details.

Notes

  • The command should be node
  • In args, provide the absolute path to the cli.js file in your mcp-dbs installation
  • Configure the appropriate environment variables for your database type (see the environment variables section below)
  • You can use environment variables for any of the supported databases (SQLite, PostgreSQL, SQL Server, or MongoDB)

Using with Claude

Once configured, Claude will be able to access your database using the MCP tools described below. You can ask Claude to:

  • Connect to your database
  • Execute queries and get results
  • Explore your database schema
  • Work with tables and data

Tools

  • connect-database : Connect to a database
  • disconnect-database : Disconnect from a database
  • execute-query : Execute a query and return results
  • execute-update : Execute a query without returning results

Resources

  • database-schema : Get the full database schema
  • table-schema : Get the schema for a specific table
  • tables-list : Get a list of all tables

Using environment variables for configuration

You can configure your database connections using environment variables:

SQLite

# Set these environment variables before connecting
export MCP_SQLITE_FILENAME="path/to/database.db"
export MCP_SQLITE_CREATE_IF_NOT_EXISTS="true"

PostgreSQL

# Set these environment variables before connecting
export MCP_POSTGRES_HOST="your-postgres-host"
export MCP_POSTGRES_PORT="5432"
export MCP_POSTGRES_DATABASE="your-database-name"
export MCP_POSTGRES_USER="your-username"
export MCP_POSTGRES_PASSWORD="your-password"
export MCP_POSTGRES_SSL="false"

SQL Server

# Set these environment variables before connecting
export MCP_MSSQL_SERVER="your-server-address"
export MCP_MSSQL_PORT="1433"
export MCP_MSSQL_DATABASE="your-database-name"
export MCP_MSSQL_USER="your-username"
export MCP_MSSQL_PASSWORD="your-password"
export MCP_MSSQL_ENCRYPT="true"
export MCP_MSSQL_TRUST_SERVER_CERTIFICATE="true"

MongoDB

# Set these environment variables before connecting
export MCP_MONGODB_URI="mongodb://localhost:27017"
export MCP_MONGODB_DATABASE="your-database-name"
export MCP_MONGODB_MAX_POOL_SIZE="10"
export MCP_MONGODB_USE_UNIFIED_TOPOLOGY="true"

These environment variables will take precedence over any configuration passed to the connect-database tool.

MCP Tools

The server exposes the following MCP tools:

connect-database

Connect to a database.

Parameters:

  • connectionId: A unique identifier for the connection
  • type: Database type (sqlite, postgres, mssql, or mongodb)

Example for SQLite:

{
  "connectionId": "my-sqlite-db",
  "type": "sqlite"
}

Example for PostgreSQL:

{
  "connectionId": "my-postgres-db",
  "type": "postgres"
}

Example for SQL Server:

{
  "connectionId": "my-mssql-db",
  "type": "mssql"
}

Example for MongoDB:

{
  "connectionId": "my-mongodb-db",
  "type": "mongodb"
}

disconnect-database

Disconnect from a database.

Parameters:

  • connectionId: The connection ID to disconnect

execute-query

Execute a query that returns results.

Parameters:

  • connectionId: The connection ID
  • query: SQL query or MongoDB aggregation pipeline (as JSON string)
  • params: (Optional) Array of parameters for the query. For MongoDB, the first parameter is the collection name.

Example for SQL:

{
  "connectionId": "my-postgres-db",
  "query": "SELECT * FROM users WHERE age > $1",
  "params": [21]
}

Example for MongoDB:

{
  "connectionId": "my-mongodb-db",
  "query": "[{\"$match\": {\"age\": {\"$gt\": 21}}}, {\"$sort\": {\"name\": 1}}]",
  "params": ["users"]
}

Example for MongoDB (new format with embedded collection):

{
  "connectionId": "my-mongodb-db",
  "query": "{\"collection\": \"users\", \"pipeline\": [{\"$match\": {\"age\": {\"$gt\": 21}}}, {\"$sort\": {\"name\": 1}}]}"
}

Example for MongoDB (shell syntax):

{
  "connectionId": "my-mongodb-db",
  "query": "db.getCollection('users').find({\"age\": {\"$gt\": 21}})"
}

Example for MongoDB (direct collection reference shell syntax):

{
  "connectionId": "my-mongodb-db",
  "query": "db.users.find({\"age\": {\"$gt\": 21}})"
}

Example for MongoDB (raw command):

{
  "connectionId": "my-mongodb-db", 
  "query": "{\"find\": \"users\", \"filter\": {\"age\": {\"$gt\": 21}}}"
}

execute-update

Execute a query that doesn't return results (INSERT, UPDATE, DELETE).

Parameters:

  • connectionId: The connection ID
  • query: SQL query or MongoDB command (as JSON string)
  • params: (Optional) Array of parameters for the query. For MongoDB, the first parameter is the collection name.

Example for SQL:

{
  "connectionId": "my-postgres-db",
  "query": "INSERT INTO users (name, age) VALUES ($1, $2)",
  "params": ["John Doe", 30]
}

Example for MongoDB:

{
  "connectionId": "my-mongodb-db",
  "query": "{\"insertOne\": {\"name\": \"John Doe\", \"age\": 30}}",
  "params": ["users"]
}

Example for MongoDB (new format with embedded collection):

{
  "connectionId": "my-mongodb-db",
  "query": "{\"collection\": \"users\", \"operation\": {\"insertOne\": {\"name\": \"John Doe\", \"age\": 30}}}"
}

Example for MongoDB (shell syntax):

{
  "connectionId": "my-mongodb-db",
  "query": "db.getCollection('users').insertOne({\"name\": \"John Doe\", \"age\": 30})"
}

Example for MongoDB (direct collection reference shell syntax):

{
  "connectionId": "my-mongodb-db",
  "query": "db.users.insertOne({\"name\": \"John Doe\", \"age\": 30})"
}

Example for MongoDB (raw command):

{
  "connectionId": "my-mongodb-db",
  "query": "{\"insert\": \"users\", \"documents\": [{\"name\": \"John Doe\", \"age\": 30}]}"
}

MCP Resources

The server exposes the following MCP resources:

Database Schema

URI: database://{connectionId}/schema

Returns schema information about the database, including all tables and their columns.

Table Schema

URI: database://{connectionId}/tables/{tableName}

Returns schema information about a specific table, including its columns.

Tables List

URI: database://{connectionId}/tables

Returns a list of all tables in the database.

Development

Testing

Run the tests:

npm test

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License

MIT

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