"Help with coding on Cursor IDE" matching MCP connectors:

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

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.

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.

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

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

Diagnose AI workflows for failure, security, and handoff risks — RED/AMBER/GREEN per node.

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.

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.

The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.

Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax

Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.

Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.

Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.

Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.

Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

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

High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.