MetricChangeAnalysisTool

MCP tool from Opensearch MCP Server Py by opensearch-project

Compares percentile distributions (P50, P90) of all numeric fields between a baseline and a selection time range, then returns the top fields ranked by change score. Useful for identifying which numeric metrics shifted most during an anomaly window.

How to use it

Project documentation lists MetricChangeAnalysisTool for the Opensearch MCP Server Py MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.

Install Opensearch MCP Server Py

$pip install opensearch-mcp-server-py
FULL OPENSEARCH MCP SERVER PY LISTING