metrics
7 servers · 52★ total
MCP server for Coroot observability platform - integrate monitoring, troubleshooting, and configuration tools with AI agents
Steep MCP server — query metrics, targets, entities, and team data in your Steep workspace
MCP server for OpenObserve — multi-instance log/trace/metrics querying with adaptive routing, batching, and LRU caching
A Datadog MCP implemented in C# that exposes logs, metrics, traces, and monitors as structured context for AI agents, enabling automated observability analysis, test validation, incident investigation, and operational insights.
MCP agent for semantic metrics governance with built-in trust scoring, lineage visualization, and conversational metric definition. Designed for data teams working with dbt, LookML, and modern semantic layers.
Your coding agent has amnesia and tunnel vision. kyma is the context engine that fixes both — long-term memory plus a live, queryable view of your running system (code, logs, traces), linked by a graph.