Monitoring
Access and analyze application monitoring data. Enables AI models to review error reports and performance metrics.
pydantic/logfire-mcp
Provides access to OpenTelemetry traces and metrics through Logfire
View details →hyperb1iss/lucidity-mcp
Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from...
View details →last9/last9-mcp-server
Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster
View details →grafana/mcp-grafana
Search dashboards, investigate incidents and query datasources in your Grafana instance
View details →modelcontextprotocol/server-sentry
Sentry.io integration for error tracking and performance monitoring
View details →tumf/grafana-loki-mcp
An MCP server that allows querying Loki logs through the Grafana API.
View details →MindscapeHQ/server-raygun
Raygun API V3 integration for crash reporting and real user monitoring
View details →metoro-io/metoro-mcp-server
Query and interact with kubernetes environments monitored by Metoro
View details →seekrays/mcp-monitor
A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to...
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