"A guide to file operations" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
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/
Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
Cloudflare Radar MCP — internet observatory (traffic, attacks, BGP, quality)
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
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.
