"Information about Meta ads or advertising on Meta platforms" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
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.
DORA OS Conductor — 16-tool meta-orchestrator for DORA compliance workflow automation.
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.
MCP for retrieving information about recorded session replays.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Uptime, SSL, DNS and domain monitoring you can talk to from Claude or any MCP client.
Official Spike MCP server for incident management, alerting, and on-call.
The official MCP server for Lizard (lizard.build). Ship a service, add Managed Postgres, Managed Redis or Managed Object Storage, read logs and metrics, set secrets, scale replicas and attach domains — in plain words. 33 tools over Streamable HTTP, OAuth 2.1; destructive tools require an explicit confirmation argument.
Build and monitor LLM apps on Orq.ai: AI gateway, agents, prompts, evals, traces.
