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Observability

Tools and platforms for comprehensive system observability including logs, metrics, and traces. Enables monitoring, troubleshooting, and performance analysis of applications and infrastructure.

MCP ServersBrowse all →

  • Rollbar MCP Server by rollbar

    Rollbar MCP Serverofficial

    rollbar
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    Enables AI assistants to interact with Rollbar error tracking and monitoring service, allowing them to diagnose issues, view item details, list deployments, retrieve session replays, and update item properties through natural language commands.
    Last updated
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    1,992
    25
    MIT
  • LangSmith MCP Server by langchain-ai

    LangSmith MCP Serverofficial

    langchain-ai
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    Enables language models to access LangSmith observability platform features including fetching conversation history, managing prompts, retrieving traces and runs, working with datasets and examples, and analyzing experiments.
    Last updated
    13
    107
  • Scout Monitoring MCP by scoutapp

    Scout Monitoring MCPofficial

    scoutapp
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    Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.
    Last updated
    13
    28
    MIT
  • Logfire MCP Server by pydantic

    Logfire MCP Serverofficial

    pydantic
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    A Model Context Protocol server that enables LLMs to retrieve and analyze OpenTelemetry traces and metrics from Logfire, supporting exception tracking and custom SQL queries against telemetry data.
    Last updated
    4
    161
    MIT

  • jaeger-mcp

    mshegolev
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    Provides read-only access to Jaeger distributed tracing data through the Model Context Protocol. Enables Claude and other MCP-capable agents to search traces, inspect spans, and analyze service dependencies directly within conversations.
    Last updated
    2
    5
    MIT

  • iris-eval/mcp-server

    iris-eval
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    MCP-native agent evaluation and observability server. Log traces, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track agent costs. Real-time dashboard, OTel-compatible spans. Self-hosted, MIT licensed.
    Last updated
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    9
    58
    6
    MIT
  • Foreman MCP Server by theforeman

    Foreman MCP Serverofficial

    theforeman
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    Enables interaction with Foreman instances to manage systems through the Model Context Protocol. It provides access to Foreman resources and tools, such as security update reports, directly within AI-powered environments like VSCode and Claude Desktop.
    Last updated
    5
    8
    GPL 3.0
  • AgentOps MCP by AgentOps-AI

    AgentOps MCPofficial

    AgentOps-AI
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    The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.
    Last updated
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    110
    14
    MIT
  • Sentry MCP Server by getsentry

    Sentry MCP Serverofficial

    getsentry
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    A Model Context Protocol server that lets AI assistants interact with the Sentry API to retrieve and analyze error data, manage projects, and monitor application performance.
    Last updated
    11
    10

  • Beszel MCP Server

    Red5d
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    Enables interaction with Beszel system monitoring tool to query system and container statistics, manage alerts, and monitor infrastructure through its PocketBase backend.
    Last updated
    6
    1
    MIT

  • NewRelic MCP Server

    ruminaider
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    A comprehensive MCP server providing over 26 tools for querying, monitoring, and analyzing NewRelic data through NRQL queries and entity management. It enables interaction with NewRelic's NerdGraph API for managing alerts, logs, and incidents directly within Claude Code sessions.
    Last updated
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    6
    1
    MIT

  • notify_me_mcp

    thesammykins
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    Enables sending rich notifications to Discord and/or Slack webhooks with automatic service detection, retry logic, and support for embeds, blocks, and attachments. Provides secure webhook management with comprehensive input validation and rate limiting.
    Last updated
    3
    TypeScript
    MIT

  • mshegolev/prometheus-mcp

    mshegolev
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    MCP server for Prometheus metrics and observability. Give Claude (or any MCP-capable agent) read access to your Prometheus instance — query metrics with PromQL, inspect active alerts, and explore scrape targets without leaving the conversation. Tools: prometheus_list_metrics, prometheus_query, prometheus_query_range, prometheus_list_alerts, prometheus_list_targets.
    Last updated
    5
    MIT

  • New Relic MCP Server

    piekstra
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    Enables AI assistants to interact with New Relic monitoring and observability data through programmatic access to New Relic APIs. Supports APM management, NRQL queries, alert policies, synthetic monitoring, dashboards, infrastructure monitoring, and deployment tracking.
    Last updated
    26
    5
    MIT

  • Ingero

    ingero-io
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    eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime and Driver APIs via kernel uprobes and host events via tracepoints to build causal chains explaining GPU latency. 7 tools: get_check, get_trace_stats, get_causal_chains, get_stacks, run_demo, get_test_report, run_sql. Telegraphic compression reduces token usage ~60%. Supports stdio and HTTPS (TLS 1.3) transport.
    Last updated
    11
    81

  • byok-observability-mcp

    alimuratkuslu
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    A comprehensive Model Context Protocol (MCP) server for Grafana, Prometheus, Kafka UI, and Datadog. Features a secure "Bring Your Own Key" (BYOK) architecture where credentials stay local. Provides tools for metrics querying, dashboard inspection, Kafka lag monitoring, and unified health checks.
    Last updated
    23
    3
    1
    MIT

  • prometheus-mcp-server

    mateusdata
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    A TypeScript-based MCP server that enables users to interact with Prometheus metrics using PromQL queries and discovery tools. It allows LLMs to retrieve time-series data, metadata, alerts, and system status directly from a Prometheus instance.
    Last updated
    10
    44
    1
    MIT

  • perfsonar-mcp

    ajragusa
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    An MCP server for perfSONAR that enables querying historical network measurements, discovering global testpoints, and scheduling active network tests. It provides tools for monitoring throughput, latency, and packet loss through integration with measurement archives and pScheduler.
    Last updated
    13
    MIT

  • WaveGuard

    gpartin
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    An MCP server that exposes GPU-accelerated anomaly detection to AI assistants via the Model Context Protocol. Provides two MCP tools: waveguard_scan (send training + test data in one call, returns per-sample anomaly scores and top explanatory features) and waveguard_health (check API and GPU status). Works on time series, JSON, numbers, text, and images — fully stateless.
    Last updated
    3
    3
    MIT

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