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I need to monitor apps in production

Query logs, errors, metrics and incidents from your monitoring tools.

44 tools · 18 official

Picked from listings that mention monitoring, observability, error tracking, incidents or alerts in their name, description, tags or skills; those in Infrastructure & Ops or Code & DevTools, or with MCP or API access, rank higher.

Best fits · 12

  1. OneUptime

    MCP · API

    Lets AI assistants investigate incidents, query logs and traces, acknowledge alerts, and set up monitors in OneUptime…

    Verifiedby OneUptime · Infrastructure & Ops, Security · 5 skills · OAuth 2.0

    Why Alerts: Acknowledges and resolves alerts, adds notes, and manages alert states and severities.

  2. Honeycomb MCP

    MCP

    Hosted MCP server letting AI assistants query Honeycomb observability data, analyse telemetry datasets, inspect alerts…

    Verifiedby Honeycomb · Infrastructure & Ops · 3 skills · API Key

    Why Query Observability Data: Run natural language queries against Honeycomb datasets across multiple environments and return structured telemetry…

  3. Datadog LLM Observability

    API · MCP · CLI

    End-to-end monitoring for LLM applications — trace prompts, evaluate responses, track costs, and debug AI pipelines in…

    VerifiedOfficialby Datadog · Infrastructure & Ops · API Key

  4. New Relic MCP

    MCP

    Lets coding agents query New Relic observability data in plain English, check alerts, and analyze logs, errors, and…

    VerifiedOfficialby New Relic · Infrastructure & Ops, Code & DevTools · 5 skills · OAuth 2.0

    Why Check Alerts And Issues: Lists alert policies, conditions, open issues, and alert events, and reports synthetic monitor results and statistics.

  5. Grafana MCP Server

    MCP

    Connects AI agents to Grafana via an official MCP server — query dashboards, datasources, Prometheus and Loki, and…

    VerifiedOfficialby Grafana Labs · Infrastructure & Ops · 3 skills · API Key

    Why Incident Management: Lists and updates alerts and incidents so agents can triage and act on observability events.

  6. Netdata

    API · CLI · MCP

    Monitors infrastructure in real time at per-second granularity and exposes live metrics, logs, and alerts to agents…

    VerifiedFeaturedby Netdata · Infrastructure & Ops, Data & Analytics · 4 skills · API Key

    Why Log Search: Searches systemd and application logs alongside metrics to correlate incidents with system events.

  7. Crontinel

    API · MCP

    Monitors cron, queue, and Horizon jobs via HTTP outcome receipts that flag runs exiting 0 without doing work, and…

    Verifiedby Crontinel · Infrastructure & Ops, Code & DevTools · 6 skills · OAuth 2.0

    Why Alert Triage: Reads open incidents with list_recent_alerts and clears them using acknowledge_alert so an agent can triage job failures in place.

  8. AgentOps

    API

    Observability platform purpose-built for AI agents. Track agent sessions, LLM calls, tool use, and costs. Integrates…

    Verifiedby AgentOps · Infrastructure & Ops · 5 skills · API Key

  9. Sentry AI

    API · MCP · CLI

    Error monitoring with AI-powered issue grouping, root cause analysis, and automated fix suggestions for production…

    VerifiedOfficialby Sentry · Code & DevTools, Infrastructure & Ops · Bearer Token

  10. LaunchDarkly MCP

    MCP

    Gives coding agents a hosted OAuth MCP server to create and target LaunchDarkly feature flags, manage AgentControl…

    VerifiedOfficialby LaunchDarkly · Code & DevTools · 4 skills · OAuth 2.0

    Why Observability Queries: Queries logs, traces, error groups, and the Dashboards page, for example listing error groups from the last 24 hours.

  11. PostHog MCP

    MCP · API · CLI

    Gives coding agents hosted MCP access to PostHog analytics queries, SQL, feature flags, experiments, and error…

    VerifiedOfficialby PostHog · Data & Analytics, Code & DevTools · 4 skills · OAuth 2.0

    Why Error Tracking Triage: Ranks top error groups, pulls full stack traces for crashes, resolves issues, and creates assignment rules for future errors.

  12. Honeybadger MCP

    MCP

    Lets coding agents query Honeybadger errors, Insights data, dashboards, alarms and check-ins through a hosted OAuth MCP…

    Verifiedby Honeybadger · Code & DevTools, Infrastructure & Ops · 5 skills · OAuth 2.0

    Why Check-In Monitoring: Lists, creates and updates check-ins that monitor cron jobs and scheduled tasks for a Honeybadger project.

See all 44 on Browse, with filters

Official · 18

The ones published by the company behind the product.

See all 18 official on Browse

In stacks

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/tasks/monitor-apps-in-production
I need to monitor apps in production · 44 fit · 18 official · keywords: monitoring, observability, error tracking, incidents, alerts · categories: infrastructure, code-devtools · access: mcp+api
Query logs, errors, metrics and incidents from your monitoring tools.
best fits
oneuptimemcp+apiAlerts: Acknowledges and resolves alerts, adds notes, and manages alert states and severities.honeycomb-mcpmcpQuery Observability Data: Run natural language queries against Honeycomb datasets across multiple environments and return structured telemetry…datadog-llm-observabilityapi+mcp+cliEnd-to-end monitoring for LLM applications — trace prompts, evaluate responses, track costs, and debug AI pipelines in production.new-relic-mcpmcpCheck Alerts And Issues: Lists alert policies, conditions, open issues, and alert events, and reports synthetic monitor results and statistics.grafana-mcpmcpIncident Management: Lists and updates alerts and incidents so agents can triage and act on observability events.netdataapi+cli+mcpLog Search: Searches systemd and application logs alongside metrics to correlate incidents with system events.crontinelapi+mcpAlert Triage: Reads open incidents with list_recent_alerts and clears them using acknowledge_alert so an agent can triage job failures in place.agentopsapiObservability platform purpose-built for AI agents. Track agent sessions, LLM calls, tool use, and costs. Integrates with LangChain, CrewAI, AutoGen, and OpenAI.sentry-aiapi+mcp+cliError monitoring with AI-powered issue grouping, root cause analysis, and automated fix suggestions for production applications.launchdarkly-mcpmcpObservability Queries: Queries logs, traces, error groups, and the Dashboards page, for example listing error groups from the last 24 hours.posthog-mcpmcp+api+cliError Tracking Triage: Ranks top error groups, pulls full stack traces for crashes, resolves issues, and creates assignment rules for future errors.honeybadger-mcpmcpCheck-In Monitoring: Lists, creates and updates check-ins that monitor cron jobs and scheduled tasks for a Honeybadger project.
official
datadog-llm-observability, new-relic-mcp, grafana-mcp, sentry-ai, launchdarkly-mcp, posthog-mcp, langfuse, ibm-contextforge, openllmetry, safari-mcp, agentscope, arize-phoenix, langchain-langsmith, cloudflare-ai-gateway, pagerduty-aiops, sentry-mcp, smartbear-mcp, vercel-ai-gateway
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in stacks
/stacks/agents-in-productionarize-phoenix+helicone+sentry-mcpWatch your agents in production
more
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