mParticle MCP Server

A Model Context Protocol (MCP) server that provides integration with mParticle's Data Planning API. This server allows Claude Desktop and other MCP-compatible clients to interact with your mParticle data plans, retrieve schemas, and manage data governance workflows.

🚀 Features

• Data Plan Management: Retrieve all data plans or specific data plans by plan ID from your mParticle workspace

• Authentication: Secure authentication with mParticle's API using client credentials stored as environment variables

• Automatic Token Management: Handles bearer token refresh and expiration automatically

• MCP Standard: Built using FastMCP framework for integration with Claude Desktop or other MCP clients.

Related MCP server: Keboola MCP Server

📋 Available Tools

get_all_data_plans

Retrieves all data plans for a specified workspace, including metadata like creation dates, descriptions, and plan status.

Parameters:

• workspace_id (string): The mParticle workspace ID (required)

get_data_plan_by_id

Retrieves detailed information about a specific data plan, including version information and data plan elements.

Parameters:

• workspace_id (string): The mParticle workspace ID (required)

• data_plan_id (string): The data plan ID to retrieve (required)

get_api_status

Checks the configuration status of the mParticle API client and credentials.

🛠️ Installation

Prerequisites

• Python 3.12+: Ensure you have Python 3.12 or higher installed

• Claude Desktop: Download and install from the official website

• mParticle API Credentials: You'll need an API key and secret from your mParticle account

1. Clone and Setup the Project

git clone <repository-url>
cd mparticle_mcp_server

# Install dependencies using uv (recommended)
uv sync

# Or install using pip
pip install -e .

2. Environment Configuration

Create a .env file in the project root or set environment variables:

export MPARTICLE_API_KEY="your_mparticle_api_key"
export MPARTICLE_API_SECRET="your_mparticle_api_secret"

Getting mParticle API Credentials:

1. Log into your mParticle dashboard

2. Navigate to Settings > Setup > API Keys

3. Create a new API key with Data Planning permissions

4. Copy the Key ID (API Key) and Secret

3. Test the Server

Run the server directly to test the configuration:

python mp_data_plan.py

If configured correctly, you should see:

✅ mParticle API client configured and ready
🚀 Starting MCP server...

🔧 Claude Desktop Integration

To use this MCP server with Claude Desktop, you need to add it to your Claude Desktop configuration.

Configuration File Location

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

• Linux: ~/.config/Claude/claude_desktop_config.json

Configuration Setup

1. Locate or create the configuration file at the path above for your operating system.

2. Add the MCP server configuration:

{
  "mcpServers": {
    "mparticle": {
      "command": "uv",
      "args": [
        "run", 
        "python", 
        "/Users/nmattox/Documents/Apps & Scripts/gen_ai/mparticle_mcp_server/mp_data_plan.py"
      ],
      "env": {
        "MPARTICLE_API_KEY": "your_mparticle_api_key",
        "MPARTICLE_API_SECRET": "your_mparticle_api_secret"
      }
    }
  }
}

Important Notes:

• Replace the path in args with the absolute path to your mp_data_plan.py file

• Replace the environment variables with your actual mParticle API credentials

• If you don't use uv, you can replace "command": "uv" with "command": "python" and adjust the args accordingly:

{
  "mcpServers": {
    "mparticle": {
      "command": "python",
      "args": [
        "/Users/nmattox/Documents/Apps & Scripts/gen_ai/mparticle_mcp_server/mp_data_plan.py"
      ],
      "env": {
        "MPARTICLE_API_KEY": "your_mparticle_api_key", 
        "MPARTICLE_API_SECRET": "your_mparticle_api_secret"
      }
    }
  }
}

3. Restart Claude Desktop after saving the configuration file.

4. Verify the installation:

   • Open Claude Desktop

   • Look for the 🔌 plug icon next to the message input

   • Click it to see available MCP tools - you should see the mParticle tools listed

💡 Usage Examples

Once integrated with Claude Desktop, you can use natural language to interact with your mParticle data:

Example Queries:

"Show me all data plans in workspace 12345 - provide summaries for each plan"

• Claude will use the get_all_data_plans tool automatically to pull all data plans then create a summary

"Get details for data plan 'mobile-app-schema' in workspace 12345 - share a summary of all data elements and suggest possible mParticle use cases given the plan"

• Claude will use the get_data_plan_by_id tool to pull the specific data plan, create a plan summary, then suggest possible use cases.

"Check if mParticle API is configured properly"

• Claude will use the get_api_status tool

"Given my use case XYZ and data plan xyz-789 for workspace 12345 - what are suggested improvements I can make to the data plan?"

• Claude will retrieve the data plan and suggest plan improvements given the use case

🏗️ Project Structure

mparticle_mcp_server/
├── mp_data_plan.py       # Main MCP server with FastMCP tools
├── mparticle_api.py      # mParticle API client and authentication
├── main.py               # Simple test entry point
├── pyproject.toml        # Project dependencies and metadata
├── uv.lock              # Locked dependencies
└── README.md            # This file

🔗 Related Links

• mParticle API Documentation

• Model Context Protocol Specification

• Claude Desktop

• FastMCP Framework