"How to integrate with Azure DevOps" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Real-time error logging for Cloudflare Workers, Next.js & Vercel. Catch silent crashes, $500 cost spikes, and every AI call with logs inside Cursor & Claude.
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/
Website traffic, human vs bot split, realtime visitors, breakdowns and site health for your DevDome sites. Hosted remote MCP server (streamable HTTP), authenticated with a DevDome API key.
Oviond brings data from 100+ marketing platforms into one reporting platform. Through the Oviond MCP server, AI assistants can securely access and work with Oviond clients, projects, reports, dashboards, widgets, and marketing data. Ask questions about your reporting data, analyze marketing performance, and manage reporting workflows directly through your AI assistant.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Check if any website is down, from two continents, with uptime history and TLS expiry
Test HTTP 429/503 retries and Retry-After with server-observed traces; share synthetic findings.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Real-time status & uptime monitoring for 294 popular APIs — is it down, and how reliable?
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Dead-man switch monitors for cron & AI agents with dependency-cascade alerts. No account needed.
Report-To group count, body discarded
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
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.
AI-ready vendor incident status with public active incidents and plan-scoped history.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
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.
