"Google Pub/Sub" matching MCP servers:

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.

MCP server for AI security scanning. Detects prompt injections, jailbreaks, data exfiltration, and social engineering attacks in real-time using 42 regex patterns via the ClawGuard Shield API. Sub-10ms response times.

MCP server for technical SEO audits, powered by the detail.web engine. Run a site audit straight from your AI agent to get a health score, issues across 8 categories, and a GEO sub-score.

MCP server for verifying AI agent claims vs reality — single-transcript inline grounding-check that flags when an agent's response states facts not in the input context, when its code silently swallows exceptions and substitutes mock data, or when its multi-turn transcript contains contradictions or unverified completion claims. Sub-second, local, free, no API calls.

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.

Free, rules-based checks for e-commerce product pages: AI shopping readiness (structured data, reviews, return and shipping terms, GTINs, AI crawler access), Google Merchant Center compliance, store SEO audit and Shopify checkout deadlines. No AI calls, nothing stored.

Provides AI assistants with token-efficient access to Google Play Android Vitals, enabling them to diagnose ANRs, track crashes, analyze startup performance, and compare app versions for release optimizations.

Build, sign, and publish iOS and Android apps through AI agents. Integrates Codemagic CI/CD, App Store Connect, and Google Play in one server.

Enables AI assistants to query the Google Play Developer Reporting API for Android production stability data, including crash and ANR issue clusters, de-obfuscated stack traces, release track discovery, startup and crash metric trends, version-to-version comparisons, and anomaly alerts. It also provides guided prompts for incident triage, baseline profile verification, and weekly stability reporting with built-in token compression and caching.

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.

Enables AI agents to query Google Play crash and ANR health per app release and receive expand, hold, or halt recommendations for staged rollouts based on configurable thresholds.

Enables building, saving, inspecting, and previewing supported circuits, plus running headless harmonic-balance simulations and comparing parameter variants without using the desktop UI.

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.

Provides a local-first, governed MCP foundation where QA engineers can check server health and capabilities, read a status resource, use an orientation prompt, and validate non-secret configuration, profiles, and credential references without exposing secrets. External provider integrations, test execution, and release reporting are not yet implemented and remain scaffolded.

Enables constrained KiCad layout, autorouting orchestration, ECO revision analysis, and manufacturing evidence packaging through MCP tools and persistent engineering jobs with native DRC/ERC verification.

Enables automatic generation of test scenarios from user stories uploaded to Claude desktop. Leverages MCP integration to streamline the test case creation process for development workflows.

AI-powered PCB design review MCP server with 93 tools for EMC, signal integrity, power integrity, thermal, and DFM analysis, supporting KiCad, ODB++, Gerber, and more, and generating audit-grade DOCX/HTML reports.

Single MCP server providing over 500 developer tools for Claude Code, covering security, testing, documentation, and more.

MCP server for AppForShare. Lets Claude Code, Cursor, Codex, VS Code, Gemini CLI and other MCP clients upload iOS and Android builds, find install links, read the store readiness check and follow App Store and Google Play releases and reviews.

MCP server to mock OpenAI, Anthropic, and Google Gemini responses for testing AI integrations without real API keys or token spend.

An MCP server that allows agents to test and compare LLM prompts across OpenAI and Anthropic models, supporting single tests, side-by-side comparisons, and multi-turn conversations.

Enables AI agents to audit KiCad PCB designs through deterministic DRC/ERC checks, spatial heuristics, and multimodal vision review, returning structured, prioritized findings with coordinates and fix guidance.

Exposes a fictional small business as 46 MCP tools spanning CRM, inbox, calendar, invoicing and phone, letting agents read and modify customers, deals, messages and payments with validated, audited writes that stay inside the process.

Runs live, URL-synced mobile and desktop browser sessions and returns measured UI findings — contrast ratios, sub-44px touch targets, overflow, theme drift, clipped or covered controls — as precise text tied to selectors, so an agent can fix the exact element rather than guess from a screenshot. A human and the agent share the same live panel, and notes the human pins there are readable by the agent along with the exact frame they saw.

Runs Google PageSpeed Insights audits against any public URL, returning Lighthouse scores, lab timing metrics, ranked fixes, and real-user Chrome UX Report field data.

Enables AI coding agents to verify code patches locally with sub-50ms neuro-symbolic analysis, detecting structural issues like dependency cycles and interface drift without consuming output tokens.

Automate Google Play closed testing with AI - skip the hassle of finding testers and waiting 14+ days by telling your AI to handle it.

Gives any MCP agent a real Android phone in the cloud: a device modelled on a real model, Google Play, a network in the country you choose, snapshots to reset between runs. Four tools: devices, observe, act, snapshots.

Enables MCP clients to retrieve lab performance scores and field Core Web Vitals data for web pages via Google APIs.

Enables testing AI agents against a scripted mock MCP endpoint where each tool call returns a chosen response, fails, hangs or drops the connection, and where assertions verify which tools were called, how often, in what order and with what arguments.