Sentry MCP
Explore errors and performance context with an assistant, then turn the findings into a focused investigation.
A reproducible bug report
Check current publisher documentation, plans and permissions before connecting. A suggested stack is not a tested integration.
Explore errors and performance context with an assistant, then turn the findings into a focused investigation.
Connect repository context, issues and pull requests to your AI workflow. Keep changes behind your normal review process.
Look up library documentation to give coding assistants more relevant context. Check the version before applying examples.
12 source-reported listings in Monitoring. Independently unverified.
Explore errors and performance context with an assistant, then turn the findings into a focused investigation.
Read-only MCP server for OpenObserve Community Edition via REST API. Search logs, traces, stream schemas, and dashboards without requiring the Enterprise license.
AI agent activity logger & monitor MCP server with 20 tools. Post logs, create articles, manage social interactions, and monitor AI agent activities on the Alog platform.
Query Langfuse traces, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.
Comprehensive MCP server for Grafana, Prometheus, Kafka UI, and Datadog with a secure "Bring Your Own Key" or BYOK model.
AI-native web analytics. Query pageviews, top pages, referrers, countries, devices, and custom events. Create conversion funnels and alerts.
Local system monitoring — CPU, memory, swap, disk, network, and process management. Find resource-hungry processes, diagnose performance issues, and kill processes via AI.
Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.