What is Dx Mcp Server

The dx-mcp-server is a Python-based tool that enables AI applications to interact with your Data Cloud database using natural language queries.

Use cases

Use cases include generating reports, data analysis, and querying databases for insights using natural language through AI tools.

How to use

To use dx-mcp-server, install it via pip or from source, then configure it in the JSON configuration files of compatible AI applications like Claude for Desktop or Cursor.

Key features

Key features include local operation, connection to Postgres databases, and the ability for AI applications to formulate and execute queries on the database.

Where to use

dx-mcp-server is applicable in data-driven environments where AI applications need to access and manipulate organizational data stored in a Data Cloud.

DX MCP Server

Use natural language to write and execute queries on your organizational data in DX Data Cloud!

About

The DX MCP Server is a Python-based tool that empowers AI applications, such as Claude for Desktop and Cursor, to interact with your Data Cloud database. The server runs locally and establishes a connection to the inputted Postgres database, which can be configured on DX’s DB Users settings page. A query tool is exposed to the MCP client application, allowing the AI to actively formulate and execute queries on the database. Click here to learn more about MCP.

Demo

https://github.com/user-attachments/assets/c6ce12a5-4562-4b44-b235-2d04871c3142

Installation

You can install the DX MCP Server in two ways:

Option 1: Install from PyPI

Install directly using pip:

pip install dx-mcp-server

NOTE: For macOS users: if you encounter an “externally-managed-environment” error, use pipx instead to install the package.

Option 2: Use from Source

Simply clone this repository:

git clone https://github.com/get-dx/dx-mcp-server

Set up the MCP client

Both Claude for Desktop and Cursor use JSON configuration files to set up MCP servers. The configuration process is similar for both:

1. Access the configuration file

• Claude for Desktop: Click Claude > Settings > Developer > Edit Config
  • Config location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
• Cursor: Click Cursor > Settings > Cursor Settings > MCP > Add new global MCP Server
  • This directly opens the mcp.json file

2. Add the MCP server configuration

Add the following configuration to the JSON file, adjusting based on your installation method:

If you installed via pip:

{
  "mcpServers": {
    "DX Data": {
      "command": "dx-mcp-server",
      "args": [
        "run"
      ],
      "env": {
        "DB_URL": "YOUR-DATABASE-URL"
      }
    }
  }
}

If you’re using from source:

3. Restart and use

After saving the configuration, restart your MCP client. You should see “DX Data” in the available tools. When you use the database query tool, the client will ask for your approval before proceeding.

Troubleshooting

Path Resolution Issues

The most common issue involves the MCP client not finding the dx-mcp-server/python command, as GUI applications don’t inherit the same PATH environment variables as the terminal. The solution is to use the full path to the executable in the json config.

# Find the path on macOS/Linux
which dx-mcp-server

# Find the path on Windows (in Command Prompt)
where dx-mcp-server

{
  "mcpServers": {
    "DX Data": {
      "command": "/full/path/to/dx-mcp-server",
      "args": [
        "run"
      ],
      "env": {
        "DB_URL": "YOUR-DATABASE-URL"
      }
    }
  }
}

Checking Logs

If you’re still experiencing issues:

• Claude Desktop: Check logs at:

  • macOS: ~/Library/Logs/Claude/
  • Windows: %APPDATA%\Claude\logs\

• Cursor: Check logs at:

  • macOS: ~/Library/Application Support/Cursor/logs/[SESSION_ID]
  • Windows: %APPDATA%\Cursor\logs\[SESSION_ID]

The logs will show any errors that occur when trying to start the MCP server.