Best monitoring MCP servers & AI agents
479 listed, ranked by reputation — showing the top 100. Semantic search available via the find_agent MCP tool.
| ★ 5.0 | Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection. |
| ★ 4.6 | 200+ transparent financial metrics calculated from raw statements, not third-party endpoints. |
| ★ 4.4 | An MCP server giving access to Grafana dashboards, data and more. |
| ★ 3.9 | BetterDB MCP server - Valkey observability for Claude Code and other MCP clients |
| ★ 3.6 | Runtime-level MCP server for Phoenix development: run code, read logs, query the DB, read docs. |
| ★ 3.6 | MCP server for Sentry - error monitoring, issue tracking, and debugging for AI assistants |
| ★ 3.4 | MCP server providing Prometheus metrics access and PromQL query execution for AI assistants |
| ★ 3.4 | Runtime-level MCP server for Rails development: run code, read logs, query the DB, read docs. |
| ★ 2.9 | Interact with Opik prompts, traces, datasets and metrics through the Model Context Protocol. |
| ★ 2.7 | MCP server for Google Lighthouse performance metrics |
| ★ 2.7 | Self-hosted homelab dashboard with a built-in read-only MCP server (hosts, Docker, GPU, services). |
| ★ 2.7 | TypeScript template for building MCP servers with declarative tooling, observability, and auth. |
| ★ 2.7 | Test, secure, and monitor MCP servers. Auto-discovery, drift detection, SARIF, record/replay/verify. |
| ★ 2.7 | Structured Docker operations (ps, images, logs, build) as typed JSON. |
| ★ 2.7 | Structured git operations (status, log, diff, branch, show) as typed JSON. |
| ★ 2.7 | Pare Docker ג€” Structured Docker operations (ps, images, logs, build, compose) as typed JSON. |
| ★ 2.7 | Pare Git ג€” Structured git operations (status, log, diff, branch, commit, push) as typed JSON. |
| ★ 2.6 | Access Dynatrace observability data: logs, metrics, problems, vulnerabilities via DQL and Davis AI |
| ★ 2.6 | Read-only admin MCP server for LastSaaS — dashboards, users, tenants, billing, logs, health. |
| ★ 2.6 | Read-only cross-cutting analysis, metrics, and reporting across the Golden Suite. |
| ★ 2.6 | Auth0 MCP Server: Manage Auth0 applications, APIs, actions, logs, and forms using natural language |
| ★ 2.5 | SigNoz MCP server: access metrics, traces, logs, alerts, and dashboards via AI assistants |
| ★ 2.4 | Append-only, signed, on-chain-verifiable agent action log — record and audit what agents did. |
| ★ 2.4 | Connect AI coding tools to LogClaw incidents, logs, and anomaly detections. |
| ★ 2.3 | MCP server for AppSignal — get alert details, search logs, and retrieve logs within time ranges. |
| ★ 2.3 | MCP server for managing Fly.io machines, apps, logs, and Docker images. |
| ★ 2.3 | MCP server for Hatchbox Rails hosting — env var inspection, deploys, and process monitoring. |
| ★ 2.3 | MCP server for Langfuse LLM observability — trace and observation analysis. |
| ★ 2.3 | MCP server for Vercel — manage deployments and view build and runtime application logs. |
| ★ 2.3 | Datasets for founders: directories, newsletters, and agencies, with metrics attached. |
| ★ 2.3 | An API-complete MCP server to manage Prometheus-compatible backends. |
| ★ 2.0 | MCP server for AI-driven console application automation and monitoring |
| ★ 2.0 | MCP server for MikroTik RouterOS: typed tools, dry-run, RBAC, audit logs, and rollback. |
| ★ 1.9 | Kiln MCP server for agents: design, slice, print, monitor, and recover physical objects safely. |
| ★ 1.9 | GPU cloud platform — create, manage, and monitor instances, snapshots, SSH keys, and billing. |
| ★ 1.9 | An MCP server for Scout Monitoring data interactions. |
| ★ 1.9 | MCP server for Withings health data — sleep, activity, heart, and body metrics. |
| ★ 1.9 | MCP server for LibreNMS network monitoring - query devices, ports, alerts, and manage infrastructure |
| ★ 1.8 | Manage CI/CD pipelines, workflows, and job metrics across projects |
| ★ 1.8 | Monitor infrastructure, manage agents and deployments, track metrics, logs, and events |
| ★ 1.8 | Manage dashboards, users, teams, alerts, data sources, and access control |
| ★ 1.8 | Track errors, manage performance alerts, and configure dashboards and monitors |
| ★ 1.8 | Query and analyze GreptimeDB metrics, logs and traces via SQL, TQL and RANGE queries. |
| ★ 1.8 | Monitor MCP registry for new servers - Discord Slack notifications alerts |
| ★ 1.8 | Node Hardware MCP - Comprehensive Hardware Monitoring and System Analysis for LLMs with... |
| ★ 1.8 | Parallel Sort MCP - High-Performance Log File Processing for LLMs with advanced sorting and analysis |
| ★ 1.7 | Personal nutrition tracking — log meals, track macros, and review history through conversation. |
| ★ 1.7 | MCP server for Cronometer nutrition tracking — food logs, diary, macros, fasting |
| ★ 1.7 | MCP server for Dynatrace Managed to access logs, events, and metrics. |
| ★ 1.7 | Investigate errors, track deployments, analyze performance, and manage application monitoring |
| ★ 1.7 | Connect your Oura Ring to Claude AI assistants. Health metrics with smart analysis tools. |
| ★ 1.6 | Manage AWS, Hetzner, OVH and SSH servers: status, logs, CloudWatch, IP bans, safe command exec. |
| ★ 1.6 | Connect Claude to Clio: 26 tools for matters, contacts, documents, tasks, billing, audit logs. |
| ★ 1.5 | Self-hosted memory for agent teams. Bi-temporal replay, deterministic retrieval, audit log. |
| ★ 1.5 | MCP server for Cronometer — food logs, macros, fasting, biometrics, and recurring foods |
| ★ 1.5 | Arduino MCP server for CLI setup, board detection, compile/upload, serial monitoring, and pin refs. |
| ★ 1.5 | Long-term memory for AI-coded codebases — agents log the why behind every change and read it back. |
| ★ 1.4 | Approval-gated Apple MCP runtime: 295 tools across 31 modules, HITL, audit log, rate limits. macOS. |
| ★ 1.4 | Safe-by-default UniFi MCP: Network + Protect + Access, multi-site, dry-run, audit log. |
| ★ 1.4 | List datasets, schemas, run APL queries, and use prompts for exploration, anomalies, and monitoring. |
| ★ 1.4 | Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging. |
| ★ 1.4 | Zuul CI — build failure analysis, log search, pipeline status, and job configuration |
| ★ 1.4 | AI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools |
| ★ 1.4 | NVIDIA GPU metrics as MCP tools — utilization, memory, temperature, power. Supports MIG. |
| ★ 1.3 | Operate and monitor Rewst RPA across every client org: automation health, failures, ROI, and drift. |
| ★ 1.3 | Query metrics, targets, entities, and team data in your Steep workspace via MCP. |
| ★ 1.3 | Tamper-evident, SHA-256 hash-chained audit trail and observability for AI agents. |
| ★ 1.3 | Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP. |
| ★ 1.3 | Scan, protect, and monitor APIs from AI coding tools. Device-level rate limiting. |
| ★ 1.3 | Read-only VMware vCenter/ESXi monitoring with 8 MCP tools. Code-level safety. |
| ★ 1.2 | HPE GreenLake audit-logs MCP Server |
| ★ 1.2 | MCP server for Zabbix monitoring and automation |
| ★ 1.1 | Zero-config data-quality monitoring: profile a warehouse, detect anomalies, gate CI. |
| ★ 1.1 | Gmail Postmaster Tools v2 — domains, traffic metrics, and compliance via your own Google OAuth. |
| ★ 1.1 | Multi-tenant MCP platform with OAuth 2.1, Entra SSO, RBAC and audit logging. |
| ★ 1.1 | Unified observability gateway for AI agents — Prometheus, Loki & more, with anomaly detection. |
| ★ 1.0 | Model inventory and governance: trace deployed models and their dependencies as an append-only log |
| ★ 1.0 | Control monitor brightness, contrast, power and input via DDC/CI with MCP and MQTT support. |
| ★ 1.0 | AI-powered log analysis - parse, search, extract errors across 9+ formats |
| ★ 1.0 | EPA air quality monitoring and HUD foreclosure data. 3 MCP tools for environmental and housing data. |
| ★ 1.0 | Federal Register monitoring and regulations.gov tracking. 4 MCP tools for regulatory compliance. |
| ★ 1.0 | Verifiable cognition: prove a session ledger is tamper-evident; audit & import any agent's logs. |
| ★ 1.0 | An MCP server that provides tools for managing and monitoring your Fleet Device Management instance. |
| ★ 1.0 | Full Datadog API access: monitors, logs, metrics, traces, dashboards, and observability tools |
| ★ 1.0 | Hardware probe for performance diagnostics, thermal monitoring, and LLM optimization. |
| ★ 0.9 | Access UK air quality data, monitoring sites, and hourly pollutant measurements across regions |
| ★ 0.9 | iptables for MCP — blocks dangerous tool calls, scans for secrets, logs everything. |
| ★ 0.9 | AI agent governance: content scanning, audit logs, policy evaluation, session management. |
| ★ 0.9 | MCP server for Docker — containers, health checks, Compose, logs, monitoring for AI agents |
| ★ 0.9 | MCP server — read-only log access for AI assistants, without giving AI shell access. |
| ★ 0.9 | GitHub Actions MCP — view runs, read logs, re-run jobs, and manage CI/CD. |
| ★ 0.9 | MCP server exposing rlg log streams to LLM agents via JSON-RPC 2.0 over stdio. |
| ★ 0.8 | Security proxy that wraps MCP servers with real-time monitoring and policy enforcement |
| ★ 0.8 | Arduino MCP server for CLI setup, board detection, compile/upload, serial monitoring, and pin refs. |
| ★ 0.8 | Process management and monitoring for AI agents with strict security boundaries |
| ★ 0.8 | MCP server for CashPilot — monitor passive income, bandwidth sharing, and DePIN earnings |
| ★ 0.8 | MCP tools for UVM/cocotb logs, coverage, regressions, and waveform triage. |
| ★ 0.8 | Security proxy that automatically wraps MCP servers with real-time monitoring and policy enforcement |
| ★ 0.8 | ADIF 3.1.6 parser and validator for amateur radio QSO logs. Full spec coverage. |
| ★ 0.8 | Python intent tracing MCP: map specs to pytest tests, monitor implementation progress, offline-only. |
Agent Hub — the discovery & reputation layer for autonomous AI agents. Connect over MCP: { "mcpServers": { "agent-hub": { "type": "http", "url": "https://agentreputation.dev/api/mcp" } } }