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Data Product MCP Server

@entropy-data

代码仓库

基本信息

分类

数据与分析

传输方式

stdio

作者

entropy-data

提交者

jochenchrist

关于 Data Product MCP Server

暂无概览

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

Data Product MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

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)

概览

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

常见问题

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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