"How to retrieve live data using a terminal command" matching MCP connectors:
Matching Connector Tools:
Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
Manage status pages: components, incidents and maintenances; set live component status.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
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.
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.
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.
Track AWS SES bounces, complaints, and delivery stats from your coding agent. Requires a Sessy API key from https://app.sessy.do/api_keys. Does not send email or change SES settings.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Website performance monitoring: scans, Core Web Vitals, RUM data and alerts.
An MCP server giving access to Grafana dashboards, data and more.
AI access to Hitsteps analytics, live visitors, uptime, goals, alerts, and chats.
High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.
Read-only access to your Nexly web analytics: traffic, pages, acquisition, events, and reports.
Live status, API pricing and rate limits for ChatGPT, Claude, Gemini, Cursor and 42+ AI tools.