"A server that generates videos from prompts using related videos or images" matching MCP connectors:
Matching Connector Tools:
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.
Vantaj uptime monitoring via MCP - manage monitors, heartbeats, incidents, and status pages.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Security gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Manage EchoRelay relay projects from any MCP client: lines, endpoints, keys, billing, logs, DLQ.
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.
Cloudflare Workers MCP server: agent-trace-auditor
Cloudflare Workers MCP server: llm-output-quality-monitor
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
ThousandEyes MCP Server for network intelligence: outages, anomalies, alerts, events, and tests.
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.
Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.
An MCP server giving access to Grafana dashboards, data and more.
Client-website monitoring for agencies: uptime, incidents, SSL/domain expiry, server metrics.
Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.