"Screenshot or Screen Capture" matching MCP connectors:

290+ quality-scored API capabilities for AI agents across 27 countries via MCP.

Pay-per-call URL intelligence for AI agents via x402 USDC on Base; no account or API key.

Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.

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

Fuses biometric signals into a stress score (0-100) for AI adaptation. MCP + A2A native.

No account needed — connect, sign up, and query mobile attribution data from any AI tool

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

Privacy-first web analytics, exposed to your AI agent as a first-class data source. The agent sees your traffic, referrers, geos, devices, live visitors, and custom events, and can reason across them. Ask what changed since the last deploy, why a campaign underperformed, which segment of signups actually activated, or have it build a conversion funnel and alert you when bounce rate spikes.

Agent Incident Relay MCP — Article 73 5-clock broadcaster. One incident → simultaneous signed

Read-only MCP server for Yandex Metrika analytics. Query visits, sources, geography, devices and more in plain language — directly in Claude, Cursor, or any MCP client.

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

Track agent ROI and enrich companies via MCP. Remote, OAuth 2.1, no install or keys.

Open-source MCP server for Zerodha Kite Connect. Portfolio, market data, backtesting, alerts.

HttpStatus MCP Server — 24 AI-callable tools for API testing, mocking, monitoring, and security. Create and manage API mocks, run chaos engineering rules, validate OpenAPI specs, scan URLs for security issues, check SSL certificates, debug CORS, analyze redirect chains, decode JWTs, inspect HAR files, trace distributed requests, capture webhooks, build automation workflows (including Postman import), and set up uptime monitors — all from your AI assistant.

Access and analyze real-time geographic sensor data across various global locations. Identify specific data sources and monitor environmental or behavioral attributes through structured queries. Gain instant visibility into distributed physical assets and their performance metrics.

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.