Monitoring & logging

Logs, traces, alerts, and production observability. 434 voci corrispondenti nel registro Forge — sono mostrate le prime 150.

• kubesphere/kubesphereThe container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
• open-metadata/OpenMetadataThe Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context
• @sentry/mcp-serverSentry MCP Server
• maximhq/bifrostFastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails,
• IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified e
• io.github.grafana/mcp-grafanaAn MCP server giving access to Grafana dashboards, data and more.
• grafana/mcp-grafanaMCP server for Grafana — query dashboards, explore metrics, manage alerts
• @winor30/mcp-server-datadogMCP server for interacting with Datadog API
• MCPJam/inspectorTesting and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
• trpc-group/trpc-agent-goA Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, eva
• @traceloop/instrumentation-mcpMCP (Model Context Protocol) Instrumentation
• @supernova123/docker-mcp-serverMCP server for Docker — container management, health checks, auto-restart, Compose lifecycle, and log streamin
• Idun-Group/idun-agent-platform🟪 Open-source runtime that ships any LangGraph or Google ADK agent as a production-ready FastAPI service. Bun
• @clize/domainsAgent Domains — domains your AI agent can buy, point and monitor, with four-layer health checks and alerts. In
• @digestseo/mcp-geoSelf-hostable MCP server for AI visibility tracking across ChatGPT, Claude, Perplexity, Gemini, and Google AI
• @datasynx/agentic-ai-cartographyMCP-first infrastructure & agentic-AI cartography — install once, every AI agent knows your system landscape.
• @kryptosai/mcp-observatoryMCP security scanner and CI gate. Test, secure, and monitor MCP servers with attack simulation, schema drift d
• @cirdanops/cliCirdan — AI infrastructure cartographer & MCP server. Zero-Python standalone binary, runnable via npx.
• sui-analytics-mcpRead-only Sui analytics: 68 tools, protocol-aware tx decoding, no API keys or wallet.
• agent-obsTrace AI agent execution: every tool call, every error, every dollar. Open source agent observability for Clau
• io.github.tjhop/prometheus-mcp-serverAn API-complete MCP server to manage Prometheus-compatible backends.
• @pan-sec/notebooklm-mcpSecurity-hardened MCP server for NotebookLM API with compliance-ready architecture (GDPR, SOC2, CSSF controls
• AgentToolkit/altk-evolveSelf improving agents through iterations
• @us-all/datadog-mcpDatadog MCP server - 165 tools for metrics, monitors, logs, APM, RUM, incidents, CI/CD, status pages, fleet au
• crumbtrail-nodeSelf-hosted Crumbtrail server, MCP evidence tools and Express middleware for capturing and diagnosing bugs. Se
• @sandboxapis/mcpMCP server for SandboxAPIs — read-only, API-compatible replicas of 21 developer and SaaS APIs (GitHub, GitLab,
• @jarroba/mcpMCP server (stdio, local) exposing 104 deterministic tools from Jarroba Tools, reusing the same code as the we
• @dinglebear/cortexSelf-hosted log aggregation and investigation for homelabs: syslog, Docker, OTLP, and AI transcripts in SQLite
• forkmindLocal-first LLM state branching, debugging & context offloading. Treat AI context windows like a Git repo — ca
• @debugbundle/mcpMCP server for runtime error reporting, incident response, health checks, debug bundles, and product analytics
• mcp-bastionReliability + security proxy for the Model Context Protocol (MCP): self-healing connections, runtime tool-secu
• @dockndevai/mcp-grafanaSearch & edit Grafana dashboards, query datasources (PromQL/LogQL/SQL), inspect alerts.
• af360Watches the things you have built - folders, repos and sites - and tells you what needs you. Runs entirely on
• @us-all/unifi-mcpUniFi semantic analysis MCP server — fleet health, anomaly detection, cross-site analytics on top of Cloud API
• cortex-rmcpNode launcher for the cortex Rust MCP server, CLI, and homelab intelligence binary.
• @slidingbox/hydrate-dehydrate-mcpMCP server for Slidingbox: hand a secret from one agent to another as an encrypted, pay-per-read, delivered-on
• appsignal-mcp-serverLocal implementation of AppSignal MCP server
• @rollbar/mcp-serverModel Context Protocol server for Rollbar
• langfuse-observability-mcp-serverLocal implementation of Langfuse MCP server
• @agentkitai/agentlens-mcpMCP server for AgentLens — instrument AI agents with zero code changes
• sentry-instrumentationRules and examples for adding Sentry instrumentation the right way — metrics and tracing. Covers how to name a
• jordigilh/kubernautOpen-source AIOps platform that closes the loop from Kubernetes alert to automated remediation. An AI Agent in
• @agentlensai/mcpMCP server for AgentLens — instrument AI agents with zero code changes
• @tethral/acr-mcpMCP server for ACR (Agent Composition Records). An interaction profile registry for AI agents — build a profil
• @dinglebear/synapseMCP server and CLI for host and container operations: Docker and Compose control, SSH, host inspection, logs,
• io.github.HewlettPackard/greenlake-audit-logs-mcpHPE GreenLake audit-logs MCP Server
• dechonet-mcpDomain security reconnaissance MCP server — 19 tools for AI agents. DNS, SSL, HTTP headers, email auth, port s
• @skillfm/mcpSkillFM Beacon MCP: AI health checkups, token usage, LLM cost optimization, BYOK monitoring, and safe agent cl
• uptybots-mcp-serverMCP server for UptyBots — connect AI assistants to your uptime monitors
• @site-spy/mcp-serverMCP server for Site Spy — lets AI agents monitor websites for changes
• @thotischner/observability-mcpUnified observability gateway for AI agents — Prometheus, Loki & more, with anomaly detection.
• @mukundakatta/ragdrift-mcpMCP server for RAG drift diagnostics. Interpret drift scores, recommend thresholds, and explain the five drift
• @mencoro/mcpStdio bridge to the hosted Mencoro MCP server for AI-search (GEO) brand monitoring.
• dingdawg-devops-agentGovernance receipts for AI agents — DevOps deployment checks, incident response, and infra review, with signed
• io.github.TANTIOPE/datadog-mcpFull Datadog API access: monitors, logs, metrics, traces, dashboards, and observability tools
• @infoinlet/mcp-observabilityObservability for incident-response agents — query Loki logs (LogQL), Prometheus metrics (PromQL), and Elastic
• freshjots-mcpModel Context Protocol server for Fresh Jots — let Claude, Cursor, and any MCP client read and write your Fres
• @bugfender/mcpBugfender MCP server
• @super-log/mcpMCP server: let a coding agent query the super-log bench
• reaatech/a2a-reference-tsEnterprise-grade TypeScript implementation of Google's Agent-to-Agent (A2A) protocol with a bidirectional A2A
• exit1-mcpMCP server for Exit1 uptime monitoring — set up monitors, configure alerts, and query uptime from AI assistant
• com.olyport/waterReal-time water levels and flow rates from USGS stream gauges
• dev.pingzen/mcpUptime monitoring with 127 tools across 23 protocols. Tag filtering + Code Mode.
• io.github.blueskylineassets/agent-observabilityAgent observability: structured logging, cost tracking, and compliance audit trails
• io.github.foam-ai/observabilityQuery application logs, traces, and metrics from your AI coding assistant via Foam's MCP server.
• io.github.friendlygeorge/sentry-mcp-serverMCP server for Sentry — error tracking, issues, releases, events, and projects for AI assistants.
• io.github.gagandeeppra/mcp-observability-serverMCP server for querying logs from observability platforms with unified search and tracing
• io.github.jeanlopezxyz/mcp-prometheusA Model Context Protocol (MCP) server for Prometheus monitoring
• io.github.mdfifty50-boop/agentic-observabilityAgent tracing, cost tracking, anomaly detection for LLM agents
• io.github.mshegolev/prometheus-mcpPrometheus MCP — query metrics, inspect alerts, and explore scrape targets (read-only).
• io.github.pab1it0/prometheus-mcp-serverMCP server providing Prometheus metrics access and PromQL query execution for AI assistants
• io.github.perceptdot/sentryAI agent vision for Sentry error tracking — with ROI measurement. perceptdot.com
• io.github.sable-inc/anvilManage Sable AI voice agents, query HyperDX logs and metrics, and deploy — all from your IDE
• io.github.veyvey45-eng/travel-monitor-launchRemote MCP server for hotel rate monitoring, parity checks, and pricing intelligence via Apify.
• @intencion/mcpMCP server for debugging AI-agent runs from your editor with Intencion. Lets Claude Code and Cursor explain wh
• @agentrysh/mcpCanonical Agentry discovery for coding agents: analytics, errors, deploys, and automation.
• actionproofTamper-proof audit trail for AI agents — the verifiable layer of agent observability. Signed, offline-verifiab
• @circulara/pluginCirculara Observe MCP plugin - meters your AI agents' token spend and carbon, free tier.
• ai.openhelm/monitoringSite & competitor monitoring: snapshots, evidence-backed diffs, briefs, price checks, mentions.
• monitoring-aiopsGoverned SolarWinds Orion + PRTG + Zabbix ops: SWQL, alert rollup, health, 42 tools.
• observability-aiopsGoverned Prometheus + Grafana ops: PromQL, alerts, dashboards, RCA; 39 tools.
• io.github.webdevelopers-eu/ipdefender-mcpTrademark filing monitor across 40+ countries - detect filings that resemble your brand.
• vectorizer-mcpMCP server for Vectorise.Me — vectorize raster images (JPG, PNG, BMP, WEBP, AVIF) to SVG and export to PDF, EP
• info.verifiedtools/ai-visibility-monitoringAI-visibility monitoring for your brand across ChatGPT, Claude, Perplexity & Gemini.
• com.pingvera/monitoringClient-website monitoring for agencies: uptime, incidents, SSL/domain expiry, server metrics.
• jamp-mcpMCP server for JAMP. Your AI agent installs JAMP on a site, watches errors, uptime, vitals and traffic, and re
• pingcheck-mcpMCP server for PingCheck — query public status pages and your own monitors from any AI agent. Zero-config for
• com.bitmovin.mcp.analytics/analytics-mcpQuery and analyse your data from Bitmovin Observability
• com.merlonix/monitoringMonitoring for agencies — uptime, SSL, DNS, blocklists, AI visibility, MCP health. 8 no-auth tools.
• com.repuso/monitoringGoogle reviews API - fetch reviews from Google, Trustpilot, TripAdvisor, G2 + 50 platforms
• agent-observability-trace-cliAI agent observability with deterministic record/replay for debugging agent failures.
• io.github.marckohlbrugge/sessyRead-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
• ezstat-mcp-serverModel Context Protocol server for EzStat — let AI agents push and read your metrics natively.
• mcparmory-datadogMonitor infrastructure, manage agents and deployments, track metrics, logs, and events
• mcparmory-grafanaManage dashboards, users, teams, alerts, data sources, and access control
• mcparmory-sentryTrack errors, manage performance alerts, and configure dashboards and monitors
• me.yoping/uptimeWebsite uptime monitoring: live status, uptime reports, incidents, response times, failed checks
• io.github.mikerawsonnz/llm-observability-orchestrationRun a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
• llmaudit-mcpMCP server for llmaudit.app: measure whether AI assistants actually recommend a brand. stdio bridge to the hos
• askedthrice-mcpMCP server for askedthrice.com: measure whether AI assistants actually recommend a brand. stdio bridge to the
• ai.getvda/kafka-and-postgres-monitoring-stackKafka and Postgres Monitoring Stack
• ai.getvda/llm-observability-orchestrationLLM Observability & Orchestration Agent
• ai.getvda/llm-observability-orchestration-agent-langchainLLM Observability & Orchestration Agent (Langchain)
• ai.getvda/llm-observability-orchestration-agent-langchain-communityLLM Observability & Orchestration Agent (LangChain Community)
• ai.getvda/llm-orchestration-agent-opentelemetry-apiLLM Orchestration Agent (Opentelemetry Api)
• ai.getvda/llm-orchestration-agent-opentelemetry-instrumentation-fastapiLLM Orchestration Agent (Opentelemetry Instrumentation Fastapi)
• ai.getvda/llm-orchestration-observability-agentLLM Orchestration Observability Agent
• ai.getvda/postgres-grafana-stack-generatorPostgres + Grafana Stack Generator
• ai.getvda/postgres-kafka-prometheus-stack-generatorPostgres + Kafka + Prometheus Stack Generator
• ai.getvda/postgres-prometheus-stack-generatorPostgres + Prometheus Stack Generator
• meek_defoneos_audit_logging_mcpMEEK DEFONEOS Audit Logging MCP — SIEM + audit chain + compliance logs. MIT-licensed.
• io.github.sadri-dridi/sentry-dsn-shapeCheck a Sentry DSN shape. Secret discarded.
• @jarroba/mcp-logsLets your AI read a CI log far too big for its context. 11 tools, takes a file path.
• io.github.SYMBaiEX/usagemaxRead-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
• io.github.stefanoseggio/delta-registry28 pay-per-event tools for regulatory, sanctions, procurement, and corporate-registry monitoring.
• logging-failuresDetects missing security event logs, logged secrets, and log injection through
• grafana-dashboardsCreate and manage production Grafana dashboards for real-time visualization of system and application metrics.
• observabilityParse native Claude and Codex logs into normalized usage metrics. Use when analyzing token burn, cost per task
• sentry-pr-code-reviewReview a project's PRs to check for issues detected in code review by Seer Bug Prediction. Use when asked to r
• continuous-exposure-monitoringTurns one-shot external recon into a continuous monitoring program. Covers the scheduled re-scan-and-diff loop
• agent-observabilityInstrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugg
• cloud-monitoringMonitor cloud infrastructure and applications using metrics, logs, and traces to provide real-time observabili
• audit-loggingImplement centralized audit logging and SIEM integration. Configure log retention and security monitoring. Use
• grafana-cliPerform Grafana operations using the Grafana HTTP API via curl. Use for querying dashboards, datasources, aler
• prometheus-cliQuery Prometheus metrics using the HTTP API via curl. Use for instant queries, range queries, metadata lookups
• logging-observability-standardsWhen setting up telemetry, debugging distributed systems, or standardizing application output.
• automotive-driver-monitoringExpert skill in attention monitoring focusing on driver-monitoring domain applications. Covers 30 topics acros
• automotive-loggingDLT (Diagnostic Log and Trace) logging skills for automotive systems Includes 1 skill files covering .
• automotive-monitoringPrometheus/Grafana monitoring configuration for automotive cloud services.
• observability-setupInstruments applications with structured logging, metrics, and distributed traces, then derives SLIs, SLOs, er
• logging[UDS] 實作結構化日誌，包含正確的日誌層級和敏感資料處理
• upflame-observability-engineerP0 — INTELLIGENCE AUGMENTATION
• realtime-monitoringRealtime Monitoring — Skill especializada para realtime monitoring
• llm-observability-and-costReference-grade guide to production LLM observability and cost attribution — distributed traces and spans for
• observability-when-to-addInstrumentation is directed, not preventive — add observability only when confirmed pain exists. Follow indust
• gulmezeren2-byte-observabilityTraces, metrics and logs that answer a question: cardinality budgets, span naming, and the dashboard nobody lo
• setting-up-error-monitoringSets up Sentry-style error monitoring with tested scrubbing of sensitive data - including a real scrubbing bug
• datadog-cliDatadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when deb
• langsmith-observabilityLLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evalu
• phoenix-observabilityOpen-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM appl
• observability-and-instrumentationInstruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing,
• monitoringObservability patterns for production - logging, error tracking, analytics. Use when setting up monitoring.
• monitoring-expertConfigures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards,
• distributed-tracingCovers following a single request across service boundaries — context propagation, span and attribute design,
• metrics-and-monitoringCovers instrumenting and collecting numeric time-series data — the Prometheus data model, choosing between cou
• arjunprabhulal-observabilityFrames the mental model for making a running system explain itself — metrics, logs, and traces as complementar
• telemetry-loggingUse when implementing robot telemetry, structured logging, flight-recorder/black-box capture, MCAP/rosbag reco
• logs-are-a-featureTreat production logging as a deliberate feature, not `printf` left behind — structured and queryable, correla
• scheduled-monitoringSet up real recurring monitoring/automation by generating an OS-level scheduled job (cron, launchd, or Windows
• nautilus-monitoring