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.
Load CSV data from file, URL, or inline, or tables from Snowflake or BigQuery using URI prefixes.
Define and modify ExpectationSuites for data quality rules.
Validate data and fetch detailed results either synchronously or asynchronously.
{
"mcpServers": {
"gx-mcp-server": {
"type": "stdio",
"command": "uv",
"args": ["run", "python", "-m", "gx_mcp_server"]
}
}
}