Monitoring & Observability

MCP server for Alibaba Cloud SLS (Simple Log Service) - query logs to assist development debugging

AI agent vision for GitHub repository monitoring — with ROI measurement.

ClickHouse query & management for AI agents — SQL-classified read/write/destructive gating.

Read-only investigation MCP server for AI agents to query obs-unified collector telemetry.

Observe-only analytics for your own MCP server: tool calls, timing, errors and AI-client mix, sent to the AgentDiscoverability collector. End-user identity only through an opt-in identify() hook, no tool-schema changes, fail-open. Fork of the MIT-licensed

Task monitoring, watchdogs and pluggable notifications for Pi Agent.

Unified MCP server for Kubernetes, ArgoCD, Prometheus, PagerDuty, and Loki

Unofficial MCP server for managing Healthchecks.io checks via the Management API

SiteLens Browser Intelligence via MCP + CLI: browser automation, observability, diagnostics, visual regression, and evidence—Local Playwright browsers, flows/scenarios, Playwright Codegen to SiteLens flows, optional Cloud/API; no Docker required

AI agent vision for Vercel deployments — with ROI measurement. perceptdot.com

Model Context Protocol (MCP) server for Datalust Seq structured logging

Model Context Protocol (MCP) server for local system statistics, CPU, RAM, Disk, GPU, and process monitoring.

MCP server for querying AWS CloudWatch Logs with Log Insights

Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.

AI agent vision for Sentry error tracking — with ROI measurement. perceptdot.com

🏆 UNIVERSAL AI DEVELOPMENT SYSTEM: 100% OPTIMIZED! Complete plug-and-play MCP orchestration with 20/20 agents operational, 101MB optimization, zero-error operations, and enterprise-grade reliability. Works with ANY project type at ANY scale.

Fennec MCP server — AI-native browser, terminal, and process observability

Hive MCP server — AI dev session logs, plans, and semantic search via Supabase pgvector

A local-first workbench for developing, inspecting, and benchmarking MCP servers against local (LM Studio, Ollama) or remote (OpenRouter) models — Web UI, CLI, and MCP interface over one shared store.

NestJS dynamic module for Model Context Protocol (MCP) integration