"Empty search query" 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.

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

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.

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.

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

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

Read-only access to Auralogs production logs: search logs, inspect errors, review AI analyses.

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

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.

Let AI agents monitor and manage your infrastructure through the Model Context Protocol. Query, create, and resolve — all in natural language.

Access New Relic observability data through MCP - query metrics, logs, traces, entities, and more