"Information about SQL (Structured Query Language)" matching MCP connectors:

Query Checkly synthetic monitoring — checks, statuses, results, alerts, reporting and dashboards.

Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.

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.

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.

Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.

Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.

AI agent observability for production traces, natural-language insights, and improvement loops.

Connect AI assistants to AppAmbit — the command center for your mobile & desktop apps. Query real-time analytics, sessions, and crash reports; read and push remote config; send push notifications, provision and query managed per-app SQLite databases, deploy serverless Cloud Code functions; and manage a headless CMS. Also generates SDK setup snippets and runs integration diagnostics. Supports .NET MAUI, Swift, Objective-C, Android and more. Built for indie devs, mobile teams, and agencies.

Read-only Yandex Metrika MCP. Query visits, sources, geo, devices and more in plain language.

MCP observability. Query live traffic, errors, duration, and alerts from your AI agent.

A paid remote MCP for AI SDK data query MCP, built to return verdicts, receipts, usage logs, and aud

Paid remote MCP for agent design system guard MCP, structured receipts, audit logs, and reviewer-rea

Paid remote MCP for AI Studio Workspace approval gate MCP, structured receipts, audit logs, and revi

Paid remote MCP for WebMCP action receipt MCP, structured receipts, audit logs, and reviewer-ready e

Remote MCP for A2A failure replay MCP, structured receipts, audit logs, and reviewer-ready evidence.

Remote MCP for Antigravity agent run receipt MCP, structured receipts, audit logs, and reviewer-read

Real User Monitoring for Core Web Vitals. Query LCP, INP, CLS field data from real visitors.

Query Honeycomb observability data: traces, events, metrics, SLOs, triggers, and boards.

Query application logs, traces, and metrics from your AI coding assistant via Foam's MCP server.