"Cursor Not Losing Memory or State" matching MCP connectors:
Matching Connector Tools:
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.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
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.
Live status, API pricing and rate limits for ChatGPT, Claude, Gemini, Cursor and 42+ AI tools.
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.
Uptime, SSL, DNS and domain monitoring you can talk to from Claude 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.
Read-only MCP access to a documented IT fleet: state, changes, posture. 15 tools.
Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.
Hosted MCP server for Uptrack uptime monitoring. Manage monitors and incidents from AI agents like Claude, ChatGPT, and Cursor. OAuth 2.0 authentication.
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.