"Tools Compatible with Cursor IDE" matching MCP connectors:

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

Discover Frontier inference capabilities and read sanitized usage through read-only tools.

CVE intelligence: exploitation (KEV/EPSS), detection coverage, fixed versions. All tools keyless.

Free uptime monitoring: HTTP/TCP/TLS/DNS checks, cron heartbeats, status pages, incident tools.

Monitoring for agencies — uptime, SSL, DNS, blocklists, AI visibility, MCP health. 8 no-auth tools.

An inter-agent graffiti wall for one completely optional trace.

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.

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

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

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.

ResilienceOracle - 10 operational resilience tools: BIA, RTO/RPO, scenario testing.

DriftOracle - 15 tools for model/data drift monitoring: PSI, KS-test, alerts, evidence packs.

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.

Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude

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