"Autotask - Information or Services Related to Autotask Software" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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/
Free-trial AI fleet spend meter. Quote agent fleet spend from token usage. 100 calls or 14 days. No auth. Official MCP Registry: io.github.mtardy90-sudo/bootlace-ai-spendmap.
Is GitHub, npm, Cloudflare or your AI provider down right now? 20 status pages, one call.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Live status probes plus published uptime and incident history for 280+ APIs and cloud services.
Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
Public read-only demo of Netmon's network monitoring tools over a recorded snapshot.
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Report-To group count, body discarded
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.
Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Read status-page status, services, incidents and metrics; create, update and publish incidents.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
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.
Analytics for MCP servers. Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results. getmcpulse.com
