#monitor

Competitive intelligence platform with 24 tools. Monitor competitor pricing, content, positioning, tech stacks, and AI visibility — track how ChatGPT, Claude, and Gemini rank your brand.

24/7 autonomous monitoring and edge detection for prediction markets (Kalshi & Polymarket). Features causal tree analysis, orderbook depth tracking, cross-venue comparison, and real-time alerts. Not one-time predictions — continuous autonomous monitoring with context management.

TrustPilot for APIs, built for AI agents. Independent reliability ratings for every API and MCP server — powered by synthetic probes and crowdsourced agent telemetry. Three tools: check_reliability (look up a service rating), compare_services (side-by-side comparison with recommendation), and report_outcome (leave a review after calling a service).

Captures and monitors AI agent output quality over time. Baseline snapshots, multi-metric drift detection, semantic similarity, trend analysis, and configurable sensitivity.

Real-time AI behavioral drift monitoring. 37 tools tracking 11 LLM models with 9-score scorecards, silent version change detection, immune threat assessment, and compliance reporting. Free tier, no API key required.

The first MCP-native eval and observability tool for AI agents. Any MCP-compatible agent discovers and uses Iris automatically — no SDK, no code changes. Log traces with hierarchical span trees, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track what your agents are actually doing and costing you. Real-time dark-mode dashboard, OpenTelemetry-compatible span structure, self-hosted with SQLite. MIT licensed.

MCP server for Valkey and Redis observability. Query real-time health, slow commands, hot keys, anomaly detection, and cluster analytics directly from your AI assistant.

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MCP server for website change monitoring. Let your AI assistant track websites, detect changes, and compare snapshots with visual diffs.

Manage CronAlert uptime monitors, check results, and incidents from any MCP client.

eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs and host kernel events to build causal chains explaining GPU latency

PageCrawl is a cloud-hosted MCP server that lets AI assistants monitor web pages for changes in real time. It supports multiple tracking modes including full-page text monitoring, content-only extraction, reader mode, price tracking with availability detection, and CSS/XPath selector-based monitoring. Features include change history with diffs, workspace and tag management, configurable check frequencies, and file monitoring (PDF, Word, Excel). Connect any MCP-compatible AI client to automate web monitoring workflows — track competitor pages, policy changes, pricing updates, product availability, and more.

AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.

MCP server for Webmin system administration. 61 tools across 12 modules covering system monitoring, services, users, cron, packages, files, storage (SMART + LVM), security (Fail2ban), MySQL databases, Webmin ACL, and disk quotas. Four-tier safety framework with safe mode on by default. Python, MIT license, Docker and local deployment supported.

MCP server for the FortiMonitor v2 monitoring API. 241 tools across 33 modules covering server management, outage monitoring, maintenance windows, metrics, notifications, cloud monitoring, SNMP, dashboards, reporting, and more. Unofficial community project, not affiliated with Fortinet. Python, MIT license, Docker and local deployment supported.

Structural observability for AI conversations and financial risk management. 17-channel pattern detection, loop/convergence/scattering detection, and OHLCV risk overlay with 31/31 validated drawdown reduction.

The Pulsetic MCP Server connects Pulsetic monitoring with AI agents and MCP-compatible tools, enabling direct access to uptime data, cron monitoring results, incident management workflows, and status page information through the Model Context Protocol (MCP). It allows teams to securely expose operational monitoring data in a structured format, making it easy to build AI-driven automation, monitoring assistants, and intelligent operational workflows without custom middleware. Core Capabilities Uptime Monitoring Access real-time and historical uptime data through AI systems. Query monitor health, availability metrics, and performance status directly from AI agents or automation workflows. Cron Monitoring Track scheduled jobs and background tasks with cron monitoring insights. Detect missed executions, delays, or failures and integrate alerts into AI-powered operational processes. Incident Management Retrieve incident history, status updates, and timelines programmatically. Automate incident analysis, reporting, and response workflows using AI tools. Status Pages Integrate public or internal status page data into AI environments. Automatically surface service status, ongoing incidents, and maintenance updates for improved transparency and communication. Use Cases AI-powered uptime and reliability monitoring Automated incident response and reporting Intelligent cron job supervision Status page automation and operational visibility Internal AI assistants for DevOps and SRE teams The Pulsetic MCP Server brings uptime monitoring and operational intelligence directly into modern AI ecosystems, enabling smarter automation, faster troubleshooting, and improved service reliability.

MCP server for the CI-1T prediction stability engine. 20 tools + 1 resource. Evaluate model stability, probe any LLM for instability (BYOM - bring your own model), manage fleet sessions, detect drift, generate visualizations, and control API keys. 7 tools work locally with no auth or credits. 1,000 free credits on signup.

AI visibility monitoring and ΑΕΟ/SEO optimization platform. Track how your brand appears in AI assistant responses (ChatGPT, Claude, Perplexity), monitor competitor visibility, generate ΑΕΟ/SEO optimized content, manage social media publishing, and analyze website performance across search engines and AI platforms. Audit and create strategy for your brand.

MCP server for https://oathe.ai security audits. Runtime behavioral analysis and security scanner for AI systems. Check trust scores before installing MCP servers, plugins, or AI agent skills.

Track website changes through natural conversation. DidItChange is a native MCP server that lets you monitor any public URL for changes, things like pricing pages, documentation, job boards, competitor sites. Get AI-powered summaries of what changed, search across tracked pages, and trigger manual checks. Works with ChatGPT, Claude, and any MCP-compatible client. Hosted service with OAuth authentication.

Monitor cron jobs and scheduled tasks. Get alerts when they don't run, see why they failed with captured output. Create and manage monitors directly from Claude, Cursor, or any MCP-compatible AI assistant.

Remote-only social media MCP server for Twitter/X, Instagram, and TikTok data & insights.

MCP Server for LogicMonitor

Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for seamless Claude Desktop and other LLM Client integration.

Scout Monitoring's local MCP server empowers AI Assistants by integrating application performance and error data directly into their workflows. It allows AI models to access traces, errors with line-of-code information, and performance insights like N+1 queries, slow endpoints, and memory bloat from various frameworks including Rails, Django, and FastAPI. This direct data access enables AI Assistants to identify and suggest fixes for performance problems and errors right within your editor and codebase, significantly enhancing development efficiency and reducing debugging time.

The Inspector MCP Server bridges the gap between AI coding assistants and production application monitoring, enabling developers to leverage AI for faster debugging and improved application reliability. Built specifically for the PHP ecosystem, this server integrates seamlessly with Inspector.dev to provide AI agents with real-time access to production error data and intelligent analysis.

An MCP server for Pingera monitoring platform. Geo-distributed monitoring, playwright scripts execution, status pages.

MCP-Airflow-API is a Model Context Protocol (MCP) server that transforms Apache Airflow REST API operations into natural language tools for LLM integration. Built for DevOps engineers, data engineers, and Airflow administrators who need intuitive cluster management capabilities.

Run NRQL, NerdGraph, and REST v2 operations to query data, manage incidents, create synthetics, and annotate deployments — all from your MCP client. A full‑featured New Relic MCP server that goes far beyond basic NRQL. It exposes safe, typed tools for APM discovery, alert policy/incident workflows (including acknowledge), entity search and deep details, creating Synthetics Browser monitors, and New Relic REST v2 coverage for deployments and metrics with region awareness and auto‑pagination.

A Model Context Protocol (MCP) server that provides employee read access to the MOCO API for time tracking, project management, holiday tracking, and presence monitoring.

A Model Context Protocol (MCP) server that provides access to the World News API. This server enables AI assistants to search for news, get top headlines, extract articles, retrieve newspaper front pages, and more through the MCP protocol. News Search: Search and filter news by text, date, location, category, language, and more Top Headlines: Get top news from any country in any language Newspaper Front Pages: Retrieve front pages of newspapers from around the world Article Extraction: Extract full articles from news URLs News Links Discovery: Extract news links from websites Source Search: Find monitored news sources Location Coordinates: Get geo-coordinates for location-based filtering Content Analysis: Extract entities, detect sentiment, and more

ScreenMonitorMCP - Revolutionary AI Vision Server Give AI real-time sight and screen interaction capabilities ScreenMonitorMCP is a revolutionary MCP (Model Context Protocol) server that provides Claude and other AI assistants with real-time screen monitoring, visual analysis, and intelligent interaction capabilities. This project enables AI to see, understand, and interact with your screen in ways never before possible. Why ScreenMonitorMCP? Transform your AI assistant from text-only to a visual powerhouse that can: Monitor your screen in real-time and detect important changes Click UI elements using natural language commands Extract text from any part of your screen Analyze screenshots and videos with AI Provide intelligent insights about screen activity Core Features Smart Monitoring System start_smart_monitoring() - Enable intelligent monitoring with configurable triggers get_monitoring_insights() - AI-powered analysis of screen activity get_recent_events() - History of detected screen changes stop_smart_monitoring() - Stop monitoring with preserved insights Natural Language UI Interaction smart_click() - Click elements using descriptions like "Save button" extract_text_from_screen() - OCR text extraction from screen regions get_active_application() - Get current application context Visual Analysis Tools capture_and_analyze() - Screenshot capture with AI analysis record_and_analyze() - Video recording with AI analysis query_vision_about_current_view() - Ask AI questions about current screen System Performance get_system_metrics() - Comprehensive system health dashboard get_cache_stats() - Cache performance statistics optimize_image() - Advanced image optimization simulate_input() - Keyboard and mouse simulation

让AI助手直接分析你的Grafana监控数据 - A Model Context Protocol server for Grafana data analysis

🔌 Complete MCP server for Zabbix integration - Connect AI assistants to Zabbix monitoring with 40+ tools for hosts, items, triggers, templates, problems, and more. Features read-only mode and comprehensive API coverage.

A tshark MCP server for packet capture and analysis Features: Async: your agent can run a curl command and get the packets for it Flexible: You choose the capture and display filters Config: You can reuse the display and capture filters

AlienVault/USM Anywhere MCP Server - Threat intelligence and security monitoring

MCP server for getting your blood glucose readings and history using dexcom share

Swift MCP server for real-time Xcode project diagnostics and monitoring

MCP server for grafana

A comprehensive Model Control Protocol (MCP) server for Red Hat OpenShift Cluster Manager (OCM) API operations. This server provides 12 intelligent tools for cluster management, account operations, and infrastructure monitoring.

A Model Context Protocol (MCP) server that provides integration with PagerDuty for incident management and monitoring operations.

This is MCP(Model Context Protocol) server which checks the certificate expiry details of websites

Open source MCP server for monitoring Department of Veterans Affairs design system usage and compliance

MCP server demo for Wi-Fi queries on Linux distros

Enterprise-grade MCP server providing real-time transaction monitoring and fraud detection capabilities for honeypot virtual credit cards with Lithic.com. Features instant SSE alerts, comprehensive transaction intelligence, and sophisticated merchant analysis for advanced scammer verification scenarios.

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

让AI助手直接分析你的Grafana监控数据 - A Model Context Protocol server for Grafana data analysis

The aimiox SNMP MCP SSE Server provides a seamless interface for SNMP device and MIBs interaction and monitoring.

Provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation. It can give you a comprehensive interface for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances, enable advanced automation and interaction capabilities for engineers and tools.

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Jarvis like AI, with web surfing capabilities and MCP server

MCP server for Dynatrace Observability

Model Context Protocol server for Veeam Intelligence

Make RSS 📰 great again with AI 🧠✨!!

服务器巡检 MCP

Connect your Uptime Agent monitoring system directly to AI assistants like Claude through the Model Context Protocol (MCP).

Make RSS 📰 great again with AI 🧠✨!!

Grafana SSE Server provides an easy way to query Grafana dashboards and panels using the MCP — enabling natural language querying, monitoring dashboards, and real-time data extraction. sudo docker run -p 8010:8010 \ -e GRAFANA_API_KEY="YOUR_KEY" \ -e GRAFANA_URL="https://grafana.example.com" \ aimiox/amx-mcp-grafana:latest

The Rollbar MCP Server implements the Model Context Protocol (MCP), letting you run Rollbar-compatible agents in local or custom environments.

API 200 is an open source API gateway to simplify 3rd-party integrations. Import endpoints, set up caching, retries, and mocks. Access all services via one URL. Monitor logs, track errors, and get alerts on API incidents.

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Azure Application Insights MCP Server

🚀 A MCP server for Prometheus.

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A network monitoring tool for MCP servers that logs all network activities to help identify potential security issues.

An MCP server for self-hosted sentry.

Rivers Radar MCP Based on large language models, provides data querying, analysis and operation capabilities for Chaitin Rivers Cloud - Website Security Monitoring through MCP Tools.

百川网站安全监测系统 基于大模型，提供通过 MCP Tools 对长亭百川云-网站安全监测的数据进行查询、分析和操作的功能。

The mcp server for safepoint web monitor

MCP Server Practice

Last9 MCP Server

MCP Server to get system info

A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.

MCP Server for Datadog

Mattermost MCP server to enable Claude to interact with Mattermost Workspaces

Real-time monitoring tool for Model Context Protocol (MCP) interactions in Cursor AI editor. Track, analyze, and debug AI context exchanges between LLM clients and servers. Supports log rotation, pattern matching, and color-coded event visualization.

An MCP server to monitor workers productivity and fire them as needed.

MCP Server - Chat with your Syften social listening data

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MCP (Model Context Protocol) Server for Ayd status monitoring service.

Interact with your crash reporting and real using monitoring data on your Raygun account