"PageSpeed Insights" matching MCP servers:

Gives AI agents live access to Apple App Store reviews: search the App Store, pull customer reviews for any iOS app, and turn them into insights like rating distribution, average rating per version, top complaint keywords, representative quotes, and side-by-side competitor comparisons.

MCP server that synthesizes user feedback from multiple sources into actionable insights. Aggregates reviews, support tickets, and survey responses to identify patterns and priorities.

Connects Huawei AppGallery Connect operational data to any MCP-capable AI client, letting users analyze report trends across 16 report types, crash and AppFreeze metrics, review and rating insights, and generate Markdown daily or weekly digests. All 13 tools are strictly read-only, run with zero dependencies, and keep credentials in memory only.

Enables MCP-compatible assistants to query, analyze, and summarize Playloop playtest data such as sessions, builds, insights, funnels, crashes, feedback, and experiments through typed tools.

Enables AI agents to query SensorTower's APIs for mobile app market intelligence, including download and revenue estimates, store leaderboards, App Store featuring and ASO keywords, reviews, Apple Search Ads, and audience insights across roughly 76 endpoints. It normalises the API's unit, shape, and error quirks so results arrive clean, capped for model context, and with actionable error hints.

Enables interaction with PostHog analytics platform, allowing users to list projects, create annotations, and search insights through natural language in Claude Desktop.

Enables AI tools to connect to the Dovetail API for accessing customer insights and research data.

Automates Cole Medin's context engineering methodology to generate high-quality Product Requirements Prompts (PRPs) by analyzing existing codebases, asking contextual questions, and synthesizing insights.

Run real user interviews from AI agents and retrieve structured insights with themes and verbatim quotes.

MCP server that transforms Voice of Customer data into actionable customer experience insights through structured analysis and synthesis.

Enables AI assistants to conduct user research workflows directly from Great Question, including creating studies, recruiting participants, and querying insights.

Enables querying and managing PostHog projects, insights, feature flags, and experiments through MCP tools backed by the PostHog REST API.

This MCP server assists founders in customer discovery by structuring hypotheses, finding interviewees, generating call guides, and synthesizing insights to achieve product-market fit.

Enables read-only Jira Data Center insights by default, with opt-in audited write tools, sprint and release health summaries, and structured issue search via MCP.

Enables querying PostHog analytics data by fetching recent events, searching user profiles, and listing saved insights over MCP.

MCP server for ListenME — product research task management via Boxverse AI. Provides 21 tools for managing research tasks, reviewing user feedback, and generating insights.

Enables AI assistants and developers to read, filter, compare, and summarize software reviews from G2, Capterra, TrustRadius, and Gartner Peer Insights through a hosted, read-only MCP connection with no review-site login or API keys.

Enables users to generate and publish AI surveys, retrieve collected responses, and produce analysis reports with executive summaries, key metrics, and per-question insights by forwarding tool calls to a hosted survey backend.

Connect AI assistants to the FrancoLabs UX research platform to create and manage studies, browse templates, read participant responses and analytics, and turn insights into product opportunities.

Enables users to query and compare luxury car brand insights from owner reviews, including average ratings, common complaints and praises, rating trends, and review searches via six deterministic tools.

Enables AI agents to fetch and analyze Product Hunt trending products over 1-4 week periods, generating trend reports, top product lists, and category insights via MCP tools.

Product management over a shared product spine — link customer feedback and insights to features, tasks, sprints and releases, then read closed-loop analytics (customer 360, funnels, retention, NRR) on the same records. Local stdio server via npx @aioproductoscom/mcp; also a 38-tool hosted remote (OAuth 2.1).