1,236 published MCP servers in this category · page 1 of 21 · all categories
Monitoring and observability MCP integrations retrieve supported telemetry such as errors, logs, traces, metrics or alert information. They help an assistant work with the records available in the selected monitoring system.
Select the project, service and time range. Include the relevant release and environment when comparing events. Similar error text across two systems does not, by itself, establish a shared cause.
Keep the event identifier, timestamps and query filters with the investigation. Compare a suspected change with its deployment time and the affected traffic. Treat a proposed cause as a hypothesis until a reproducible check or the underlying telemetry supports it.
Compare vendor-maintained integrations, inspect hosted servers or return to all MCP categories.
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Connect Flutter applications with AI coding assistants via the Model Context Protocol.
Enables natural language interaction with Splunk Enterprise and Cloud for searching data and managing resources.
Enables remote control of Chrome tabs through the DevTools Protocol for tasks like executing JavaScript, capturing screenshots, and monitoring
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.
Connects Prometheus metrics and data to Claude via the Model Context Protocol (MCP).
Enables semantic analysis of chat conversations through vector embeddings and knowledge graphs.
Extracts and analyzes errors and warnings from Xcode build logs for integration with AI assistants.
Facilitates interaction with Model Context Protocol by providing a JavaScript SDK for defining server prompts, resources, and tools.
Executes Python code and manages Python packages within a sandboxed environment.
Enables AI agents to access and analyze Sentry error data through a Modern Context Protocol (MCP) server.
Enables real-time WebSocket monitoring of all MCP interactions for enhanced debugging and observation.
Enables interaction with the Sentry API to retrieve issue and event details.
Your AI marketing analyst, connected to live data. 75 MCP tools across Google Ads, Meta Ads, GA4, Search Console, Shopify, Stripe and WordPress — read, analyze, manage, and monitor.
MCP server for 402 Index — search 15,000+ paid API endpoints across L402, x402, and MPP protocols with real-time health monitoring
MCP server for Ansible Automation Platform
MCP server for Aare.guru API - provides water temperature and swimming conditions for the Aare river
Observability tools (LangSmith, Langfuse, Arize) show you what your agent reportedly did — traces recorded inside their platform, on their word. But those logs are self-asserted: an agent, a bug, or…
Real-time GitHub Actions observability: DORA Metrics, Cost Analysis, CI/CD Health dashboards.
Query Meta Ads performance data — accounts, campaigns, ad sets, ads, metrics & settings.
MCP server for Android Debug Bridge (ADB) interactions in TypeScript
PPC advertisement budget auditor grading ad group metrics.
Agent-native cold-email infrastructure: domains, mailboxes, warmup, sequences, replies via 17 tools
Process monitoring for AI agents: start runs, submit per-task evidence, complete runs.
Verifiable crypto signals, recorded history and always-on monitoring for AI agents via x402 on Base.
x402-paid tools: EU company & sanctions data, web search, LLM chat, crypto intel, x402 monitoring.
Read-only MCP server for coding-agent traces, alerts, costs, usage, and budget health.
Free owned-agent uptime monitoring, DNS domain proof, signed alerts and opt-in endpoint checks.
AI-powered news intelligence — 21 tools for personalized monitoring, briefings, and semantic search
Agent tracing, cost tracking, anomaly detection for LLM agents
Agentify MCP Server - Multi-client AI agent monitoring and control system with auto task completion detection
Signed, hash-chained, tamper-evident AI incident records. EU AI Act Article 73 serious-incident repo
Tamper-evident, SHA-256 hash-chained audit trail and observability for AI agents.
Backlink monitoring with dated fetch evidence; checks and change events continue after the chat.
Inspect AgentMark traces and drive AgentMark Cloud: apps, experiments, metrics, deployments.
AI agents for federal IT & pharma: alert triage, ICAM, helpdesk, incidents, ticket routing.
Your LangGraph agent fails after step 8. LangSmith shows you what broke. To reproduce it: 8 more LLM calls. 30 more seconds. $0.15 more in API cost. If the failure was caused by a transient model…
Agent observability: structured logging, cost tracking, and compliance audit trails
An MCP (Model Coordination Protocol) server that allows LLM agents to interact with the AgentOps API for accessing trace data.
Production observability for AI agents: search runs, read evaluations, acknowledge incidents.
Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.
Verifiable, signed, immutable receipts for autonomous agent actions
Free API/MCP/x402 health checks plus $19 hourly managed monitoring for agent services.
AI agent registry — search, register, and evaluate 122+ agents with trust scores and ecash.
Agentry is agent-native analytics and logging for coding agents. It covers product analytics, error logging, and deploy attribution through one HTTP API so agents can answer what users did, what…
Snapshot tests for AI tool-call traces: diff, validate, and catch silent regressions.
111 pay-per-call agent tools via x402: web, crypto safety, docs, company checks, IOTA, monitoring
Monitoring for the agent economy — liveness, latency, trust scoring for MCP endpoints
Multi-agent observability: cascade failure detection, heartbeats, and forensic replay
Pre-flight metrics for AI agents, like a weather report. x402: RLUSD on XRPL; USDC on Base (0.01+).
This repository is the public connector kit for the hosted server. There is no server code here: the server runs at https://mcp.agilehero.io/mcp, and these files describe it to MCP clients and…
MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI (agy) — purpose-built tools, model routing with fallback, and multi-turn
Ai Self Audit MCP Server by MEOK AI Labs
# 🤖 AI Customer Support Bot - MCP Server <div align="center"> 
Connect your AI Endurance training platform to ChatGPT, Claude, and other AI assistants for conversational access to your training data, workouts, and performance analytics and to manage your…
This implementation follows the official MCP specification, including proper message framing, transport layer implementation, and complete protocol
Governed local-LLM observability: model policy, prompt scanner, capture proxy, 21 tools.