"Exploring Applications of AutoGen Technologies" matching MCP connectors:

Query 90 days of honeypot probe data: IP reputation, scanners, CVE probing, TLS/SSH fingerprints.

Reports the launch status of YK Blueprint.

Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.

Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.

ThreatFox MCP — abuse.ch indicator-of-compromise feed (free, key required)

Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.

Third-party signed reads of how an AI agent behaved: drift, vows, and the town it works in.

Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.

Gain visibility into the performance, availability, and health of your apps and infrastructure.

Uptime, SSL, domain, and Core Web Vitals monitoring for websites and APIs. List, create, update, and pause monitors; read incident history with AI-generated diagnosis; pull Lighthouse and CrUX page speed data. OAuth 2.0 with dynamic client registration — works out of the box with Claude Desktop connectors. Free plan: 20 monitors, read-only MCP.

The statistical analyst in your AI chat — validated, citable, re-runnable analysis of your data.

Enables monitoring and management of Ruckus Unleashed WiFi controllers, including APs, clients, WLANs, and system events. MCP server for Ruckus Unleashed (tested on R500/R600, built-in Embedthis-Appweb web server). Uses aioruckus to talk to the controller's AJAX API.

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.

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.