"The term pHqghUme" matching MCP servers:

Relays error logs from other MCP servers when an LLM call fails and the returned error message is unclear, helping the model handle errors more intelligently.

Enables building, validating, describing, and conformance-testing TTEOP telemetry envelopes through the Model Context Protocol.

Privacy friendly, cookieless web analytics built MCP-first. "Add analytics to my Next.js app" → an AI agent runs the setup_analytics_for_site tool, picks the right install snippet, edits your layout file, and verifies the script is loading. OAuth onboarding, no API keys to paste.

An MCP server for the Healthchecks.io API that lets Claude manage checks, channels, badges, and send pings.

A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.

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An MCP server for interacting with the Rybbit Analytics API, enabling querying analytics data, managing sites, tracking events, and more.

Enables natural language interaction with Plausible Analytics data to query traffic, visitors, engagement, and more using conversational questions.

Enables MCP clients to query an organization's Traceorb telemetry data through the same GETs the panel uses, using a read key for authentication.

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.

Enables searching and retrieving Datadog logs through the Model Context Protocol with customizable queries, time ranges, and result limits.

Monitors and analyzes interactions between MCP servers to detect emergent patterns, visualize coupling relationships, and suggest optimal next actions based on system coherence and resonance state.

Enables AI assistants to interact with local Docker containers, Kubernetes clusters, and system logs using the Model Context Protocol.

Evidence-first MCP server for diagnosing problems with hooks, plugins, skills and configuration, returning ranked probable causes and reviewable fixes without modifying the workspace.

MCP server for the Production Master incident-investigation service, enabling any MCP client to drive investigations via tool calls with pass-through authentication.

A Model Context Protocol (MCP) server for the Pingera monitoring service, providing seamless integration between AI models and monitoring data.

Provides secure access to the LogicMonitor API, enabling AI assistants to manage monitoring infrastructure through natural language commands.

Enables managing incident response workflows including incidents, on-call, postmortems, and more through the Runframe platform using MCP tools.

Enables interaction with the Mackerel monitoring platform, providing tools to manage alerts, hosts, dashboards, services, monitors, and traces.

The watchdog for unattended AI agents: flags MISSED, FAILED, NO_EVIDENCE, RETRY_STORM, BUDGET, DRIFT and STALLED runs of Claude Code routines, OpenClaw, n8n and cron jobs, and alerts via Telegram, Slack or webhook. MIT and self-hostable.