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    MCP server for measuring web performance with Google PageSpeed Insights, providing median scores with uncertainty and real-user data. It offers tools for scores, diagnostics, and comparisons to identify regressions.
    2
    7
    Apache 2.0
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    A local, stdio-only Model Context Protocol server that lets coding agents inspect, control, and test Apple iOS Simulators and Google Android Emulators. It exposes 29 typed tools for device lifecycle, app management, UI automation, screenshots, logs, permissions, location, and platform-specific test conditions.
    29
    MIT
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    Model Context Protocol (MCP) server for App Store Optimization. Score your App Store / Google Play listing metadata, check character limits, and clean up the iOS keyword field — right inside Claude, Cursor, or any MCP client.
    4
    12
    MIT
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    Provides comprehensive website validation across performance, accessibility, SEO, and security dimensions using multiple testing services including WebPageTest, Google PageSpeed Insights, Axe DevTools, Mozilla Observatory, and SSL Labs. Enables automated website health assessments through browser automation and API integrations.
    12
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  • A
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    A lightweight Python-based microservice that provides simple echo functionality, receiving messages and returning them back to the client for diagnostic and testing purposes within the MCP framework.
    1
    Apache 2.0
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    Enables agents to inspect captured emails, messages, and webhooks across multiple channels, read OTP codes, and simulate inbound events for end-to-end testing.
    MIT
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    A procurement scenario MCP server for testing whether pending work can resume after a service restart, comparing legacy and modern continuation. It uses SQLite for data persistence and demonstrates real MCP protocol messages.
    MIT
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    A spec-compliant remote MCP server with built-in OAuth 2.1 and Dynamic Client Registration, enabling Notion Custom Agents to connect via 'Sign in with OAuth' without bearer tokens. It supports SSO federation to Google and Microsoft Entra, and includes basic tools like whoami, echo, and slow_task.
    MIT
  • F
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    Verifies AI agent actions by exercising public web surfaces and returning evidence-based pass/fail verdicts on real outcomes, rather than trusting self-reported success messages.