"Information about Query Futures or Future Contracts" matching MCP connectors:

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

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

Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

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.

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.

Uptime, SSL, DNS and domain monitoring you can talk to from Claude or any MCP client.

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

Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.

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

Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.

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

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.

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

The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.

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