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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 →

  • ThinkNEO MCP SMB by thinkneo-ai

    ThinkNEO MCP SMBofficial

    thinkneo-ai
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    8 standalone MCP servers for SMBs — Guardrails (prompt injection, PII, secrets detection), FinOps (AI cost tracking and budgets), Observability (agent tracing), Smart Router (17+ models, 9 providers), Trust Score (governance scoring 0-100), Memory (persistent agent memory), ThinkSecure (runtime security + SOC2/GDPR audit), and A2A Lite (agent-to-agent protocol). 37 tools total, TNC credits
    Last updated
    4
    MIT
  • freeplay-mcp by freeplayai

    freeplay-mcpofficial

    freeplayai
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    Enables AI agents to interact with Freeplay, an ops platform for AI engineering teams, to analyze production logs, identify quality issues, iterate on prompts and agents using real data, and run experiments before deploying.
    Last updated
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    2
    Apache 2.0
  • 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
    8
    3,722
    29
    MIT
  • 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
    29
    MIT

  • agentic-ledger

    ShekharBhardwaj
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    Lets agents query their own usage ledger captured by the Agentic Ledger proxy: sessions with full call traces, costs, loop runs, and stuck-loop flags. Tools include list_sessions, get_session, search, list_runs, get_run_status, and explain.
    Last updated
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    6
    3
    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
    162
    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
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    129
    MIT
  • pagerduty-mcp by PagerDuty

    pagerduty-mcpofficial

    PagerDuty
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    Enables management of PagerDuty incidents, services, schedules, and more directly from MCP-enabled clients, with embedded interactive UIs for incident command center, on-call management, and other features.
    Last updated
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    Apache 2.0
  • 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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    26
    14
    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
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    8
    GPL 3.0
  • Drumbeats MCP by drumbeats-io

    Drumbeats MCPofficial

    drumbeats-io
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    MCP server for Drumbeats monitoring. Enables creating monitors, triaging incidents, and running HTTP/SSL/DNS checks using natural language from any AI client.
    Last updated
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    186
    2
    Apache 2.0
  • @verlon-ai/mcp by verlon-ai

    @verlon-ai/mcpofficial

    verlon-ai
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    Model Context Protocol server for Verlon AI that exposes gates, logs, recommendations, and experiments as MCP tools, enabling coding agents to inspect and manage AI infrastructure natively.
    Last updated
    5
    350
    MIT

  • proxmox-mcp

    nrohozen
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    An MCP server that exposes Proxmox VE node/cluster as tools for MCP clients, enabling management of VMs and containers including power control, resource reconfiguration, snapshots, and backups.
    Last updated
    20
    MIT

  • freshprobe

    Sudhan30
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    Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS certificate health, DNS timing, and redirect chains. Returns deterministic FRESH/STALE/UNKNOWN JSON verdicts with policy evaluation and NIST AI RMF mapping.
    Last updated
    3
    1
    MIT

  • hny-mcp

    honeycombio
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    Server for interacting with Honeycomb observability data. This server enables LLMs like Claude to directly analyze and query your Honeycomb datasets.
    Last updated
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    2
    43
    MIT

  • beacon-mcp

    HyperBDR
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    MCP server for the beacon log analytics platform, exposing beacon's REST API as MCP tools and resources for AI agents to query and analyse AI-assistant usage data.
    Last updated
    11
    MIT

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