Best Observability AI Skills & MCP Servers

MCP server providing AI agent observability — tracing, cost tracking, performance monitoring, and audit trails

PostHog SDK for MCP servers

Hud MCP

Analytics tool for MCP (Model Context Protocol) servers - tracks tool usage patterns and provides insights

Log10x MCP Server — per-pattern log cost attribution, root-cause investigation, pasted-batch triage, archive query/backfill, and cross-pillar correlation against customer metric backends (Grafana Cloud, Mimir, Thanos, AMP) with structural validation that

Emcy telemetry SDK for MCP servers - track tool invocations, errors, and performance

Kibana MCP Server

Datadog MCP server for monitoring, metrics, logs, and dashboards

The agent eval standard for MCP. Score every agent output for quality, safety, and cost.

Alephant MCP Server — query AI spend, manage virtual keys and policies from your AI IDE

Orchestration + observability + coach layer for Claude Code token optimization. Measures tool usage, enforces budgets, advises on complementary tools (serena, RTK), and proactively surfaces savings tips.

Observability for MCP servers and LLM applications — traces, metrics, dashboards. One-line instrumentation for OpenAI, Anthropic, Gemini, and MCP. Self-hosted with Grafana + Prometheus + Jaeger.

Multi-agent observability: cascade failure detection, heartbeats, and forensic replay

MCP server for RuntimeScope — 46 tools for Claude Code runtime analysis

The mcp-use CLI is a tool for building and deploying MCP servers with support for ChatGPT Apps, Code Mode, OAuth, Notifications, Sampling, Observability and more.

Model Context Protocol (MCP) server for Grafana - Complete TypeScript implementation with all tools

MCP server that exposes the Langfuse REST API as tools — query traces, observations, sessions, scores, prompts, datasets, and metrics from any MCP client.

MCP Server for Datadog API

Datadog MCP server - 165 tools for metrics, monitors, logs, APM, RUM, incidents, CI/CD, status pages, fleet automation, and more

TES SDK — LLM observability and lifecycle tracking via Pentatonic Thing Event System. Track token usage, tool calls, and conversations. Manage things through event-sourced lifecycle stages with AI enrichment and vector search.

Arguslog MCP server — exposes the full Arguslog API (issues, projects, orgs, alerts, releases, tier admin, …) as Model Context Protocol tools. Authenticate with a Personal Access Token from the dashboard.

agentry MCP server — the canonical entry point. Drop it into Claude Code, Cursor or any MCP-compatible AI and your assistant can read your app's errors, analytics and deploys directly.

Unified observability gateway for AI agents — one MCP server for Prometheus, Loki, and any backend

Model Context Protocol server for Helicone observability platform