dynatrace-oss/dynatrace-mcp A MCP Server Official Active
Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.
Browse all Model Context Protocol servers with quality scores, stars, languages and maintenance activity.
Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.
Sentry.io integration for error tracking and performance monitoring
Real-time cost observability for MCP tool calls. Transparent proxy auto-detects every MCP client (Claude Desktop, Cursor, Windsurf, VS Code, Claude Code, Zed, Continue.dev, Cline, Goose) and attributes spend per tool, per project, per end-customer. `npx @mcpspend/proxy add` install. Free tier 25K calls/month, no card. MIT proxy on npm. EU-hosted, GDPR-ready.
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.
AI API cost tracking and budget enforcement across 11 LLM providers. 6 tools for spend analytics, budget monitoring, session summaries, and key management.
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 your Spanlens LLM observability from any MCP client. 7 read tools for request logs, agent traces, cost stats, anomalies, model-savings, and per-user analytics across OpenAI, Anthropic, and Gemini. Open source, self-hostable. `npx -y @spanlens/mcp-server`
Model Context Protocol server for monitoring Operational Status of major digital platforms in Claude Desktop.
MCP-native agent evaluation and observability server with trace logging, output quality evaluation, cost tracking, 12 built-in eval rules, real-time dashboard, and PII detection.
Socket.IO-style telemetry for MCP servers. Instrument a tool call with a few lines of `mcp-telemetry-sdk`, and `telemetry_subscribe` 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.
MCP server providing comprehensive Datadog observability access for AI assistants. Features grep-like log search, APM trace filtering with duration/status/error queries, smart sampling modes for token efficiency, and cross-correlation between logs, traces, and metrics.
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`.
Server ops via AI: log troubleshooting, CPU/memory/disk monitoring, code edit, Nginx & certificate management. Local or SSH-remote with two-step confirmation, command whitelist, and secret redaction. Install: `npx -y server-ops-mcp`.
AI-native web analytics. Query pageviews, top pages, referrers, countries, devices, and custom events. Create conversion funnels and alerts.
AI agent cost intelligence — track spend across providers, optimize model selection, manage budgets with enforcement, detect cost leaks, and prove ROI. 23 tools across 10 domains.
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.
MCP server that checks the live status of 3831 software services in real time. Ask your AI agent "is GitHub down?" or "what's wrong with Sentry?" — and get a live answer pulled directly from official status pages, including full incident detail when something is broken. `npx -y github:jabbawocky/statuscraft`
Check real-time operational status of 114+ cloud services and APIs (AWS, GitHub, Stripe, OpenAI, Vercel, etc.) directly from AI assistants. Published on npm.
TypeScript MCP server for the Langfuse Public API. 27 read tools covering traces, observations, sessions, scores, score-configs, prompts (with version/label), datasets, dataset items, dataset runs, metrics, models, projects, comments, media, and health. Distributed as `npx -y langfuse-mcp` with provenance-signed releases.
Privacy-first web analytics with native MCP server. Query pageviews, referrers, trends, and AI-generated insights for your sites.
Full-coverage MCP server for Umami Analytics API v2 — 66 tools for websites, stats, sessions, events, reports, users, teams, and realtime monitoring.
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.
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`
Gizmo Analytics — cookieless web analytics for AI coding agents. Framework-aware install (Next/Remix/SvelteKit/Nuxt/Astro/Vite/React/HTML), OAuth onboarding, 28 tools for setup + query + workflow operations (summarize_all_sites, explain_traffic_change, detect_anomalies). Hosted MCP at gizmoanalytics.io/mcp.
Unified agent work logging and observability across ChatGPT, Claude, Cursor, Codex, and OpenClaw with config-first schemas and pluggable sinks.
Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch, Azure Log Analytics, Grafana Loki, and Elasticsearch
Raygun API V3 integration for crash reporting and real user monitoring
Comprehensive MCP server for Grafana, Prometheus, Kafka UI, and Datadog with a secure "Bring Your Own Key" or BYOK model.