Data Product Mcp
@entropy-data
About Data Product Mcp
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"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"
}
}
}
}Tools
4Structured 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)
Overview
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
FAQ from Data Product MCP
What data platforms are supported?
Snowflake, Databricks, and BigQuery are explicitly supported, each with specific environment variable configuration.
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.
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.
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).
Does the server support self-hosted Data Mesh Manager?
Yes—set the DATAMESH_MANAGER_HOST environment variable to your instance URL.
Frequently asked questions
What data platforms are supported?
Snowflake, Databricks, and BigQuery are explicitly supported, each with specific environment variable configuration.
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`.
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.
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).
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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