Open-source MCP server that audits websites for AI search readiness, providing deterministic scoring (0-100) and prioritized fix lists for metrics like JSON-LD, llms.txt, heading hierarchy, and AI crawler access.
MCP server for mobile growth & user acquisition, connecting LLMs to a curated knowledge base of ad optimization insights and analytical skills for subscription apps.
Scans websites to evaluate agent-readiness and produce an ASO Score Report across 34 signals, helping improve discoverability, trust, and interoperability for AI agents.
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.
An MCP server for App Store Optimization that provides keyword research, competitor analysis, review sentiment, and metadata optimization using real App Store data without requiring an API key.
Open-source Model Context Protocol server for iOS App Store market research with four read-only tools for app discovery, revenue/download estimates, ASO keyword research, and review analysis.
An open-source MCP server for live Apple App Store competitor research, enabling AI agents to search apps, fetch metadata, compare competitors, and retrieve reviews and top charts as structured JSON.
Self-hosted MCP server for app market intelligence, enabling tools to query app download/revenue estimates, ad intensity proxies, creator mentions, and rank history from local collected data.
MCP server for managing App Store Optimization: add apps, track keywords, pull health reports, spy on competitors, find keyword opportunities, and write AI copy suggestions.
An MCP server that gives AI assistants structured access to App Store Connect data. Built for ASO analysis, download tracking, and performance monitoring.
MCP server for App Store Optimization, enabling AI agents to read rankings, keywords, competitors, reviews, and revenue, and manage metadata with human approval.
