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Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Check if an AI model is deprecated, retiring, or silently changed price or context window.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
An AI that doesn't just answer questions about your IoT deployment — it changes it. Kilo is the IoT platform where AI controls real-world devices: point Claude, ChatGPT, Cursor or Codex at a live commercial deployment and read live telemetry, provision LoRaWAN and MQTT hardware, deploy automation rules, work the alarm queue, and send commands to physical equipment. Hosted and OAuth-secured — no API key to mint, and your assistant is bounded by your own permissions. https://kiloiot.io
Privacy-first web analytics, exposed to your AI agent as a first-class data source. The agent sees your traffic, referrers, geos, devices, live visitors, and custom events, and can reason across them. Ask what changed since the last deploy, why a campaign underperformed, which segment of signups actually activated, or have it build a conversion funnel and alert you when bounce rate spikes.
Uptime, SSL, DNS and domain monitoring you can talk to from Claude or any MCP client.
Look up DNS information for any domain to troubleshoot issues and gather insights. Get fast, relia…
Read-only MCP server for Yandex Metrika analytics. Query visits, sources, geography, devices and more in plain language — directly in Claude, Cursor, or any MCP client.
Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.
Track agent ROI and enrich companies via MCP. Remote, OAuth 2.1, no install or keys.
Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence across 17 channels without analyzing content.
Access and analyze real-time geographic sensor data across various global locations. Identify specific data sources and monitor environmental or behavioral attributes through structured queries. Gain instant visibility into distributed physical assets and their performance metrics.
The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.