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2025-04-14

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DataContract MCP Server

An MCP server for working with Data Contracts - loading, querying, and analyzing contract definitions.

Installation

Prerequisites

  • Python 3.13 or higher
  • uv (recommended)

Using uv (recommended)

uv pip install -e .

Using pip

pip install -e .

Running the Server

python -m datacontract_mcp.server

Adding to Claude Desktop (for local development)

Add this to your Claude Desktop configuration:

{
  "mcpServers": {
    "datacontract": {
      "command": "uv",
      "args": ["run", "--directory", "<abs_repo_path>", "python", "-c", "from datacontract_mcp import main; main()"],
      "env": {
        "DATACONTRACTS_SOURCE": "<abs_repo_path>/datacontracts"
      }
    }
  }
}

Available Tools

Get Data Contract Schema

Retrieves the official Data Contract JSON schema:

datacontracts_get_schema

List Data Contracts

Lists all available Data Contracts in the datacontracts directory:

datacontracts_list_datacontracts

Get Data Contract

Retrieves the content of a specific Data Contract:

datacontracts_get_datacontract(filename="orders.datacontract.yaml")

Query Data Contract

Executes a read-only SQL query against data defined in a Data Contract:

datacontracts_query_datacontract(
    filename="orders.datacontract.yaml",
    query="SELECT * FROM \"orders\" LIMIT 10"
)

Available Resources

The server provides access to these resources:

  • datacontract-ref://schema - The official Data Contract JSON schema
  • datacontract-ref://example - A concrete example Data Contract from the retail domain

Included Data Contracts

The repository includes example data contracts for:

  • orders.datacontract.yaml - Sample order data with CSV source
  • video_history.datacontract.yaml - Sample video watching history with CSV source

Development

Environment Variables

  • DATACONTRACTS_SOURCE - Directory containing Data Contract files (required)

Testing Locally

DATACONTRACTS_SOURCE=<abs_repo_path>/datacontracts mcp dev -m datacontract_mcp.server

License

MIT

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  • Reviews

    1 (1)
    Avatar
    user_wBL3R6d2
    2025-04-23

    As a devoted user of datacontract-mcp, I can confidently say this tool is extremely reliable and efficient. It streamlines data handling processes seamlessly and provides exceptional functionality. The author, datacontract, has done a fantastic job with its intuitive design and robust features. Highly recommended for anyone looking to enhance their data management capabilities!