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Great Expectations MCP Server

Great Expectations MCP Server exposes data quality checks as MCP tools for LLM agents, enabling programmatic dataset loading, expectation definition, validation, and integration into automated workflows.

Tools

1. load_dataset

Load CSV data from file, URL, or inline, or tables from Snowflake or BigQuery using URI prefixes.

2. define_expectation_suite

Define and modify ExpectationSuites for data quality rules.

3. validate_data

Validate data and fetch detailed results either synchronously or asynchronously.

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JSON Config

{
  "mcpServers": {
    "gx-mcp-server": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "python", "-m", "gx_mcp_server"]
    }
  }
}

Useful Links

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