"Services that provide internet connectivity" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Hear it from nimo, not your customers. Monitoring that tells you the fix, not just the alert: uptime, Core Web Vitals, cron check-ins, plus Journey Watch for your signup and checkout flows. Free one-off checks, no account needed.
Matches sanitized business needs to fixed-price services and routes authorized agents to purchase.
Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.
Read status-page status, services, incidents and metrics; create, update and publish incidents.
8,900+ services' status, and your Stackpulse dashboards and URL monitors. Needs Pro.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Live status probes plus published uptime and incident history for 280+ APIs and cloud services.
Public read-only demo of Netmon's network monitoring tools over a recorded snapshot.
Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.
Downdetector for AI agents: stop paying for retries that can't succeed. Check once, then report.
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.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
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
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
Cloudflare Radar MCP — internet observatory (traffic, attacks, BGP, quality)
Read-only access to your Infrly services, deploys, logs, metrics and billing.
Monitor services, manage incidents and status pages in Statuser.cloud from your AI assistant.
Open-source AI coworkers that show their work: approval before risky steps, a record of every run.
