"Resources or tools to find or create content images" 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/

Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.

Discover Frontier inference capabilities and read sanitized usage through read-only tools.

CVE intelligence: exploitation (KEV/EPSS), detection coverage, fixed versions. All tools keyless.

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

Free uptime monitoring: HTTP/TCP/TLS/DNS checks, cron heartbeats, status pages, incident tools.

Monitoring for agencies — uptime, SSL, DNS, blocklists, AI visibility, MCP health. 8 no-auth tools.

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

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

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

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.

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.

ResilienceOracle - 10 operational resilience tools: BIA, RTO/RPO, scenario testing.

DriftOracle - 15 tools for model/data drift monitoring: PSI, KS-test, alerts, evidence packs.

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