Monitoring & logging

Logs, traces, alerts, and production observability. 351 passende Einträge im Forge-Registry — angezeigt werden die obersten 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
• grafana/mcp-grafanaMCP server for Grafana — query dashboards, explore metrics, manage alerts
• MCPJam/inspectorTesting and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
• @winor30/mcp-server-datadogMCP server for interacting with Datadog API
• trpc-group/trpc-agent-goA Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, eva
• Idun-Group/idun-agent-platform🟪 Open-source runtime that ships any LangGraph or Google ADK agent as a production-ready FastAPI service. Bun
• AgentToolkit/altk-evolveSelf improving agents through iterations
• 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
• reaatech/a2a-reference-tsEnterprise-grade TypeScript implementation of Google's Agent-to-Agent (A2A) protocol with a bidirectional A2A
• 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.Evozim/data-observabilitySQL data health analyzer and pipeline observability evaluator.
• io.github.HewlettPackard/greenlake-audit-logs-mcpHPE GreenLake audit-logs MCP Server
• io.github.TANTIOPE/datadog-mcpFull Datadog API access: monitors, logs, metrics, traces, dashboards, and observability tools
• io.github.ThoTischner/observability-mcpUnified observability gateway for AI agents — Prometheus, Loki & more, with anomaly detection.
• 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.getsentry/sentry-mcpMCP server for Sentry - error monitoring, issue tracking, and debugging for AI assistants
• io.github.grafana/mcp-grafanaAn MCP server giving access to Grafana dashboards, data and more.
• 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.tjhop/prometheus-mcp-serverAn API-complete MCP server to manage Prometheus-compatible backends.
• io.github.us-all/datadogDatadog MCP — 165 tools for metrics, monitors, logs, APM, RUM, incidents, CI/CD, fleet
• io.github.veyvey45-eng/travel-monitor-launchRemote MCP server for hotel rate monitoring, parity checks, and pricing intelligence via Apify.
• sv.prometheus/mcpKnowledge Network for AI Agents and creators: Search, rate, and review programming guides via MCP
• @traceloop/instrumentation-mcpMCP (Model Context Protocol) Instrumentation
• @rollbar/mcp-serverModel Context Protocol server for Rollbar
• 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
• website-logs-10mBeton Kemon multi-source live triage over the last 10 minutes. Hard auth-gate on Vercel, Sentry, and Supabase
• website-logs-2hBeton Kemon multi-source production audit over a 2-hour window. Fans out in parallel to Vercel runtime logs, S
• ai-observabilityUse when adding Spring AI-specific model observations, token usage, latency, externally configured cost attrib
• production-observabilityUse when adding service-wide Spring Boot 4 Actuator, Micrometer Observation and Tracing, OpenTelemetry or OTLP
• logging-best-practicesExpert logging guidance based on Boris Tane's loggingsucks.com philosophy.
• alibaba-observability-incident-responderRespond to Alibaba Cloud incidents using CloudMonitor alarms, SLS log analytics, ARMS APM distributed tracing,
• aws-observability-incident-responderInvestigate broad AWS incidents and observability gaps using CloudWatch metrics, logs, alarms, traces, EventBr
• tools-unity-sentrySentry Unity SDK integration patterns for error tracking, performance monitoring, transactions, spans, and cus
• golang-observabilityGolang everyday observability — the always-on signals in production. Covers structured logging with slog, Prom
• sentryQuery Sentry issues, events, releases, replays, and org/project metadata via REST API. Use when the user wants
• braintrust-tracingAI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonom
• datadog-automationAutomate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create
• patrol-monitoringContinuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated re
• agent-observability-specSpecify the tracing, metrics, and alerting for an AI agent or LLM feature in production. Use when asked what t
• competitor-monitoring-systemSet up and run ongoing competitive intelligence monitoring for a client. Tracks competitor content, ads, revie
• api-monitoringE-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and busin
• brand-monitoringBrand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTub
• domain-monitoringE-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and busin
• file-integrity-monitoringE-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and busin
• review-monitoringSet up systematic review monitoring across e-commerce platforms. Track new reviews, detect negative review spi
• monitoring-and-alertingDesign and run a monitoring system for a website or web app. Use this skill when setting up uptime checks, def
• amazon-competitor-monitoringAmazon competitor monitoring and competitive intelligence for sellers. Track pricing changes, inventory levels
• implementing-observabilityMonitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building
• siem-loggingConfigure security information and event management (SIEM) systems for threat detection, log aggregation, and
• 181-java-observability-loggingUse when you need to implement or improve Java logging and observability — including selecting SLF4J with Logb
• 182-java-observability-metrics-micrometerUse when you need to implement or improve Java metrics observability with Micrometer — including meter design,
• 183-java-observability-tracing-opentelemetryUse when you need to implement or improve distributed tracing with OpenTelemetry in Java — including trace/spa
• python-observability-patternsObservability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometh
• page-monitoringWeb page monitoring, change detection, and availability tracking. Use when tracking content changes, detecting
• portfolio-monitoring166 production-ready Claude AI skills organized by corporate role — executive leadership, finance, HR, marketi
• datadogProduction-ready AI coding skills for APIs. Installable skills for Claude Code, Cursor, Codex CLI, Gemini CLI,
• dspy-debugging-observabilityUse for debugging DSPy programs, inspect_history, tracing LLM calls, custom callbacks, observability, monitori
• grafana-best-practiceReview, improve, organize, deploy, and verify Grafana dashboards, provisioned alert rules, and the Telegraf→In
• ai-coding-agents-observability-evalsDesigns observability and eval systems for coding agents. Use when implementing traces, replay, regression sui
• qa-observabilityImplement OpenTelemetry logs/metrics/traces, SLI/SLO gates, burn-rate alerts, and APM integrations. Use when a
• developersglobal-observabilityStructured logging, distributed tracing, and alerting for AI systems and traditional services. You can't fix w
• analyzing-api-gateway-access-logsParses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect
• analyzing-azure-activity-logs-for-threatsQueries Azure Monitor activity logs and sign-in logs via azure-monitor-query
• analyzing-dns-logs-for-exfiltrationAnalyzes DNS query logs to detect data exfiltration via DNS tunneling,
• analyzing-linux-audit-logs-for-intrusionUses the Linux Audit framework (auditd) with ausearch and aureport utilities
• detecting-entra-offensive-tools-in-graph-logsHunt AADGraphActivityLogs and MicrosoftGraphActivityLogs in Microsoft Sentinel/Log Analytics for fingerprints
• distributed-loggingThis skill should be used when the user designs "distributed logging", "log aggregation", "centralized logs",
• proyecto26-observabilityThis skill should be used when the user asks about "observability" or "monitoring", what "metrics, logs, and t
• azure-mcp-observabilityThe read-only observability half of the azure-mcp connector — the monitor, resourcehealth, applens, and adviso
• better-stack-loggingBetter Stack log management (Logtail): log sources, structured log search and query syntax, log-based alerting
• deliverability-monitoringMonitor outbound deliverability health across domains, inboxes, DNS, bounces, spam placement, reply rates, and
• grafana-foundation-sdkBuild Grafana dashboards as code with the grafana-foundation-sdk typed builders (TypeScript or Go). Use when c
• outlinedriven-observabilityInstrument code with structured logs, metrics, and traces. Use when adding telemetry, setting up or reviewing
• choose-observability-stackUse this to recommend an LLM observability / evaluation tool or stack for a specific situation. Trigger on "wh
• instrument-llm-observabilityUse this when adding tracing/observability to an LLM or AI-agent application - capturing prompts, tool calls,
• redact-pii-for-tracingUse this when adding LLM observability to an app that handles sensitive data (finance, healthcare, PII) and yo
• nimadorostkar-observabilityUse when instrumenting a system or when an incident cannot be diagnosed from existing telemetry. Covers struct
• datarobot-external-agent-monitoringInstrument any external or existing AI agent with OpenTelemetry to send traces, logs, and metrics to DataRobot
• datarobot-model-monitoringTools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting
• logging-securityKeep secrets and personal data out of logs at the call site rather than relying on redaction, neutralize log a
• ai-observability-langfuseLLM observability with Langfuse — OpenTelemetry-based tracing, evaluations, prompt management, datasets, and p
• ai-observability-promptfooTesting and evaluation framework for LLM prompts and applications -- promptfooconfig.yaml, assertions, model-g
• api-observability-axiom-pino-sentryPino logging, Sentry error tracking, Axiom - structured logging with correlation IDs, error boundaries, perfor
• api-observability-setup-axiom-pino-sentryPino, Axiom, Sentry installation - one-time project setup for logging and error tracking with source maps uplo
• security-logging-alerting-failuresUse this skill whenever auditing, reviewing, or testing Python web applications (FastAPI or Flask) for OWASP A
• observability-and-growthFull instrumentation from day one. PostHog consolidates product analytics + feature flags + error tracking (on
• java-loggingReviews Java logging for SLF4J best practices, MDC context, structured logging, and PII safety. Use when user
• transaction-monitoring-alert-triageUse when triaging a transaction-monitoring alert or small alert batch on an existing customer to inventory the
• fabric-performance-monitoringMonitor and optimize Microsoft Fabric capacity, Spark compute, and workload performance. Use when asked to che
• cargo-observabilityWatch a Cargo workspace and get told when something breaks — scheduled threshold alerts over workflow telemetr
• sentry-issueFetches and digests Sentry issue data (summary, tags, stack trace, breadcrumbs, latest event) by short ID, num
• sota-observabilityState-of-the-art observability and reliability engineering (2026). Use when instrumenting code (structured log
• api-monitoring-botsBuild monitoring bots that poll APIs and send notifications on state changes (new listings, price alerts, stat
• dsgvo-auth-and-loggingUse whenever code touches authentication, login, session management, audit logging, or application logging — e
• sentry-code-reviewAnalyze and resolve Sentry comments on GitHub Pull Requests. Use this when asked to review or fix issues ident
• sentry-setup-ai-monitoringSetup Sentry AI Agent Monitoring in any project. Use this when asked to add AI monitoring, track LLM calls, mo
• sentry-setup-loggingSetup Sentry Logging in any project. Use this when asked to add Sentry logs, enable structured logging, setup
• sentry-setup-metricsSetup Sentry Metrics in any project. Use this when asked to add Sentry metrics, track custom metrics, setup co
• sentry-setup-tracingSetup Sentry Tracing (Performance Monitoring) in any project. Use this when asked to add performance monitorin
• ci-monitoringUse after creating PR - monitor CI pipeline, resolve failures, address review feedback, and merge when all gat
• prometheusProduction-ready AI coding skills for APIs. Installable skills for Claude Code, Cursor, Codex CLI, Gemini CLI,
• logging-observabilityStructured logging, distributed tracing, and metrics collection patterns for building observable systems. Use