dynatrace-oss/dynatrace-mcp A MCP Server Official Active
Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.
70 MCP servers and agent skills in the Monitoring category, ranked by quality score.
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`.
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.