"How to create draft emails using Gmail's support agent class" matching MCP connectors:

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/

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.

Issue signed receipts for AI agent actions; verify any receipt offline - free, no account.

Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.

Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.

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

Manage Cronitor monitors and send telemetry pings — list, inspect, create, update, delete.

Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.

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?

Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.

Cloudflare Workers MCP server: agent-trace-auditor

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

AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.

EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.

An MCP server giving access to Grafana dashboards, data and more.