"Terraform - Infrastructure as Code Tool or Related Search" matching MCP connectors:

Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.

Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?

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

Research honeypot. Logs connections and tool arguments; injects instructions. Read README first.

AI compute infrastructure intelligence: facilities, supply chains, sovereign AI, export controls.

Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.

Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.

EU-hosted website monitoring + 17-framework compliance MCP. One anonymous tool, four authenticated.

Gain visibility into the performance, availability, and health of your apps and infrastructure.

DORA OS Conductor — 16-tool meta-orchestrator for DORA compliance workflow automation.

DORA OS EventFabric - 14-tool event stream for DORA compliance signals and pub/sub fabric.

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

Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.

heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

Live service status, active incidents, search, and outage history from Downtester.

Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.