监控 MCP 服务器

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

An MCP server giving access to Grafana dashboards, data and more.

MCP server for Sentry - error monitoring, issue tracking, and debugging for AI assistants

Tells an agent what changed on a server since it last looked - status, Docker, backups, Proxmox.

Zabbix integration for hosts, items, triggers, templates, problems, data and more.

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

Access OpenTelemetry traces and metrics through Logfire.

Langfuse MCP server for accessing and analyzing telemetry data via natural language

Real-time system metrics: CPU, memory, disk, network, host and process information.

Improve AI-generated code quality with prompt-based analysis across 10 dimensions, from complexity to security vulnerabilities.

Google PageSpeed Insights and CrUX: six workflow tools for web performance.

Bring real-time production logs, metrics and traces from Last9 into your local environment to fix code.

Query your MCPSpend usage: cost today, top tools, recent sessions, budget projections.

Query and interact with Kubernetes environments monitored by Metoro.

Investigate errors, track deployments, analyze performance, and manage application monitoring

Self-hostable uptime monitoring: create checks, read incidents, manage status pages.

Query Loki logs through the Grafana API.

Debug container and Kubernetes workloads with eBPF via Inspektor Gadget.

What went wrong with your own Ollama calls, in sentences with the fix. Local, read-only.

Tamper-evident, SHA-256 hash-chained audit trail and observability for AI agents.

MCP server bridging GenieACS TR-069 ACS instances to LLMs for CPE device management

Read-only access to OpenObserve Community Edition: search logs, traces, stream schemas and dashboards without an Enterprise license.

Internet speed testing: download and upload speed, latency, jitter, and CDN server detection with geographic mapping.

AI cost tracking: 11 tools for spend, budgets, and Claude Code + Cursor + Cline costs

Zero-config data-quality monitoring: profile a warehouse, detect anomalies, gate CI.

Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP.

Transparent MCP proxy that intercepts JSON-RPC messages, measures latency, stores traces in SQLite, PostgreSQL or MySQL, and exports…

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

Read-only Tautulli (Plex monitoring) access: activity, history, library and user stats, transcode analysis and resolution breakdowns.

Webmin Linux system administration: services, users, storage, security, databases and more.

Stop shipping agents on vibes. Score every agent output for quality, safety, and cost.

Minimal Sentry integration.

Monitor the operational status of major digital platforms.

Query Grafana Loki directly with a discovery-first workflow: labels, values, series and LogQL queries, without requiring Grafana.

Synthetic monitoring for cloud and local LLM inference endpoints: TTFT, latency, throughput and errors, with Prometheus and OpenTelemetry…

MCP server for Umami Analytics v3 — analytics, boards, links, pixels, reports, replay, and more

Local-first flight recorder for AI agents: sessions, costs, loop runs, and stuck-loop flags.

MCP server — read-only log access for AI assistants, without giving AI shell access.

Full Datadog API access: monitors, logs, metrics, traces, dashboards, and observability tools

Local-first, multi-provider tool that captures LLM API spend and exposes it to coding agents via MCP

Local cost tracking for Claude Code and Codex sessions: spend by session, sub-agent and model, week-on-week comparisons, and findings with…

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

SEO, performance, and security audits for any URL — no API keys required

Prometheus integration.

Observability across Grafana, Prometheus, Kafka UI and Datadog using your own keys.

Read-only MCP server for coding-agent traces, alerts, costs, usage, and budget health.

Unified work logging and observability across AI agents, with config-first schemas and pluggable sinks.

Local system monitoring (CPU, memory, swap, disk, network) and process management: find resource-hungry processes, diagnose slowdowns and…

Read-only Redis monitoring: queue depths, Celery queue status, connected clients, server and memory stats, and key counts per database.

Unofficial FortiMonitor v2 API integration for server monitoring, outages, maintenance, metrics and notifications.

AI agent monitoring: alerts when your agents fail, stall or need you

Query Langfuse traces and observations, debug exceptions, analyze sessions, scores and datasets, and manage prompts.

Every tool a builder signs up for, on one tab: trials, burn, price drift. Local JSONL, zero deps.

Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.

Datadog MCP — 165 tools for metrics, monitors, logs, APM, RUM, incidents, CI/CD, fleet

VMware Aria Operations: metrics, alerts, capacity, anomaly detection — 46 MCP tools.

Live .NET runtime diagnostics: find memory leaks, GC pressure, LOH fragmentation and thread starvation in any running .NET process without…

Streams live progress from mcp-telemetry-sdk-instrumented tools to any connected MCP client.

Web analytics: query pageviews, top pages, referrers, countries, devices and custom events, and create conversion funnels and alerts.

Windows network and proxy diagnostics: GitHub reachability, proxy ports, DNS/TCP, and fixes.