MCP OpenMetadata

@pfldy2850

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

pfldy2850

关于 MCP OpenMetadata

mcp-openmetadata

#mcp-openmetadata#metadata-management#api-integration

MCP OpenMetadata 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-openmetadata": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "mcp-openmetadata"
      ]
    }
  }
}

MCP OpenMetadata 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP OpenMetadata?

MCP OpenMetadata is a FastMCP-based server that provides a subset of OpenMetadata APIs for querying and managing metadata. It offers tools for searching entities, retrieving table metadata, columns, ownership information, and sample data—designed for AI assistants to interact with an OpenMetadata instance.

How to use MCP OpenMetadata?

Install the package via uv pip install mcp-openmetadata or pip install mcp-openmetadata. Configure it in your MCP client with the command python -m mcp_openmetadata.server and environment variables for authentication (OPENMETADATA_URI plus either OPENMETADATA_JWT_TOKEN for token auth or OPENMETADATA_USERNAME/OPENMETADATA_PASSWORD for basic auth). Then invoke any of the provided tools from your LLM.

Key features of MCP OpenMetadata

Search entities using query text with pagination and sorting
Retrieve paginated list of tables with basic information
Get detailed table information by fully qualified name
Fetch table columns and ownership details
Access sample data from specified tables
Supports token and basic authentication methods

Use cases of MCP OpenMetadata

An AI assistant listing all database tables in an OpenMetadata instance
Finding tables by column name or tag to locate relevant data assets
Retrieving column schemas and ownership for data governance checks
Getting sample rows to understand table content before querying
Integrating metadata discovery into automated data lineage or catalog workflows

常见问题

How does it compare to using the OpenMetadata API directly?

The server returns optimized, context-friendly results instead of raw API responses that may contain excessive data. Not all OpenMetadata APIs are exposed; see the Supported APIs document for the list.

What are the runtime dependencies?

Python 3.10 or later, plus the `fastmcp`, `httpx`, and `mcp-openmetadata` packages.

Where does the server connect to?

It connects to an OpenMetadata instance via the configured `OPENMETADATA_URI` environment variable (default `http://localhost:8585`). No external cloud service is involved.

What authentication methods are supported?

Two options: token authentication (using `OPENMETADATA_JWT_TOKEN`) or basic authentication (using `OPENMETADATA_USERNAME` and `OPENMETADATA_PASSWORD`).

What transport or protocol does the server use?

It is a FastMCP server, so it uses the MCP protocol over stdio transport by default (as configured in the MCP client).

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