observability MCP servers & tools

Search dashboards, investigate incidents and query datasources in your Grafana instance

Query Langfuse traces, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.

Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.

Unofficial FortiMonitor v2 API integration with 241 tools for server monitoring, outages, maintenance, metrics, notifications, and more.

Debug your Container and Kubernetes workloads with an AI interface powered by eBPF.

Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster

Tamper-evident observability for AI agents: a SHA-256 hash-chained audit log with chain verification and signed export (EU AI Act Art. 12). Instrument any agent with zero code via npx -y @agentlensai/mcp; also ingests OpenTelemetry GenAI traces.

Socket.IO-style telemetry for MCP servers. Instrument a tool call with a few lines of mcp-telemetry-sdk, and telemetrysubscribe streams its live progress (steps, logs, cost, done) to any connected MCP client via notifications/progress — no polling, and a job started in one session can be watched from a completely different one.

Runtime guardrails and incident read access for coding agents. Query AgentGuard traces, alerts, usage, costs, and budget health.

Interact with Edge Delta anomalies, query logs / patterns / events, and pinpoint root causes and optimize your pipelines.

Transparent proxy for any MCP server that intercepts all JSON-RPC messages, measures latency, and stores traces in SQLite, PostgreSQL, or MySQL. Exports OpenTelemetry (OTLP) spans to Jaeger, Tempo, or Grafana. Supports stdio, HTTP, and SSE transports. npx @cardor/heimdall-mcp

Query Langfuse traces, debug exceptions, analyze sessions, scores, datasets, schema, observations and manage prompts. Full observability toolkit for LLM applications. (https://github.com/langfuse/langfuse)

Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections

Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch, Azure Log Analytics, Grafana Loki, and Elasticsearch

Provides comprehensive integration with your VictoriaMetrics instance APIs and documentation for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances

Agentry skill handoff for agent-native analytics and logging.

Observability for AI agents: 87 tools to query LLM cost, errors, and latency across OpenAI/Anthropic/Gemini/Mistral, and operate alerts, budget gates, evals, and safety checks from Claude/Cursor. Install: npx -y @argosvix/mcp-server.

Use natural language to explore LLM observability, traces, and monitoring data captured by Opik.

Synthetic monitoring for LLM inference endpoints. Measure TTFT, latency, throughput, and errors across OpenAI, Anthropic, Google, Azure, Bedrock, and local servers (vLLM, SGLang, Ollama). CLI + MCP server with Prometheus and OpenTelemetry export.

Query and interact with kubernetes environments monitored by Metoro

Jaeger distributed tracing MCP. 5 tools: listservices, listoperations, searchtraces, gettrace, getdependencies. Any Jaeger instance (HTTP API v3); PyPI + MCP Registry.

AI-powered SRE observability for Kubernetes and OpenShift with 40+ tools for Tekton pipeline debugging, log analysis, root cause analysis, and predictive monitoring.

Datadog observability — 168 tools across metrics, monitors, logs, APM, RUM, incidents, status pages, fleet automation, workflows. 4 workflow Prompts and incident-triage-snapshot aggregation that fans out to 4 fetches in one call.

Black-box flight recorder for RAG retrieval inside MCP agents. Logs chunks, scores, sources and rankings so you can audit, replay and diff retrieval runs.

Unified observability gateway for AI agents — Prometheus, Loki & more, with anomaly detection.

MCP Server for VictoriaMetrics. Provides integration with VictoriaMetrics API and documentation

Find where your voice agent talks over callers, and keep it from coming back. Offline, MIT.

Secure, self-hosted New Relic observability and administration tools for MCP clients

MCP server for Zabbix monitoring and automation

An API-complete MCP server to manage Prometheus-compatible backends via comprehensive tools.

Unified agent work logging and observability across ChatGPT, Claude, Cursor, Codex, and OpenClaw with config-first schemas and pluggable sinks.

AI-powered observability platform for agents. Auto-discovers and recommends MCP servers; built-in connectors for GA4, Vercel, GitHub, and Sentry with ROI tracking. npx -y @perceptdot/core

Provides access to OpenTelemetry traces and metrics through Logfire

ThinkNEO Control Plane — Enterprise AI governance MCP server with runtime guardrails, observability, AI FinOps, and agent lifecycle control.

Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.

MCP observability. Query live traffic, errors, duration, and alerts from your AI agent.

Governed local-LLM (Ollama) observability: model policy, prompt scanner, 18 tools.

Governed Prometheus + Grafana ops: PromQL, alerts, dashboards, RCA; 30 tools.

Trace AI agent execution: every tool call, every error, every dollar. Open source, local-first.

SigNoz MCP server: access metrics, traces, logs, alerts, and dashboards via AI assistants

Query AI agent traces, sessions, patterns, topics, failures, feedback, and observability metrics.

Step-by-step observability for MCP agent workflows

Agent tracing, cost tracking, anomaly detection for LLM agents

MCP server for LibreNMS network monitoring - query devices, ports, alerts, and manage infrastructure