"How to compare the master branch with a feature branch using Cursor" matching MCP connectors:

Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/

Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.

Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di

Reports the launch status of YK Blueprint.

Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.

Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.

Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.

Uptime watchdog and dead man switch for AI agents and cron jobs. Alerts you when a job goes silent.

EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.

Uptime, API and server monitoring with outages, reporting, on-call and status pages.

Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.

Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.

Public MCP digital twin with synthetic systems and an agent firewall. No customer data.

Live reliability for AI agent tools: is it working right now, and how do I call it correctly?

Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.

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.

AI-ready vendor incident status with public active incidents and plan-scoped history.

Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.

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

The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.