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Data Product MCP Server

@entropy-data

リポジトリ

基本情報

カテゴリ

データと分析

トランスポート

stdio

作者

entropy-data

投稿者

jochenchrist

Data Product MCP Server について

概要はまだありません

#data-product#data-mesh#data-governance

Data Product MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "dataproduct": {
      "command": "uvx",
      "args": [
        "dataproduct_mcp"
      ],
      "env": {
        "DATAMESH_MANAGER_API_KEY": "dmm_live_user_...",
        "DATAMESH_MANAGER_HOST": "https://api.datamesh-manager.com",
        "SNOWFLAKE_USER": "",
        "SNOWFLAKE_PASSWORD": "",
        "SNOWFLAKE_ROLE": "",
        "SNOWFLAKE_WAREHOUSE": "COMPUTE_WH",
        "DATABRICKS_HOST": "adb-xxx.azuredatabricks.net",
        "DATABRICKS_HTTP_PATH": "/sql/1.0/warehouses/xxx",
        "DATABRICKS_CLIENT_ID": "",
        "DATABRICKS_CLIENT_SECRET": "",
        "BIGQUERY_CREDENTIALS_PATH": "/path/to/service-account-key.json"
      }
    }
  }
}

Data Product MCP Server のツール

4

Structured list of data products with their ID, name and description, owner information, and source of the result.

Data product details with enhanced output ports, including access status and inlined data contracts

Access request details including access_id, status, and approval information

Query results as structured data (limited to 100 rows)

概要

What is Data Product MCP?

A Model Context Protocol (MCP) server that enables AI agents to discover data products in Data Mesh Manager, request governed access, and execute SQL queries against data platforms such as Snowflake, Databricks, and BigQuery.

How to use Data Product MCP?

Install via uvx and add the server configuration to your MCP client’s settings, supplying environment variables for authentication to Data Mesh Manager and your chosen data platform. Four tools are exposed: dataproduct_search, dataproduct_get, dataproduct_request_access, and dataproduct_query.

Key features of Data Product MCP

  • Discover data products via search term in Data Mesh Manager
  • Retrieve detailed product metadata and data contracts
  • Request and manage access to specific output ports
  • Execute SQL queries on governed data products
  • Supports Snowflake, Databricks, and BigQuery
  • Enforces data governance and access controls

Use cases of Data Product MCP

  • AI agents answer business questions by querying approved data products
  • Automate data discovery and access requests within governed data meshes
  • Enable self-service analytics with embedded governance policies
  • Integrate language models with enterprise data platforms securely

よくある質問

1

What data platforms are supported?

Snowflake, Databricks, and BigQuery are explicitly supported, each with specific environment variable configuration.

2

Do I need access to a data product to query it?

Yes—the `dataproduct_query` tool requires active access to the output port. Access can be requested via `dataproduct_request_access`.

3

How are access requests handled?

Access may be automatically granted or require manual approval from the data product owner, depending on the product configuration and data governance rules.

4

What authentication is required?

A Data Mesh Manager API key (`DATAMESH_MANAGER_API_KEY`) is required. For data platforms, you need credentials (e.g., Snowflake PAT, Databricks OAuth, BigQuery service account key).

5

Does the server support self-hosted Data Mesh Manager?

Yes—set the `DATAMESH_MANAGER_HOST` environment variable to your instance URL.

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