trysonar/mcp

Overview

MCP server that exposes 47 App Store Optimization tools to AI agents. Covers keyword research, rank tracking, top charts, reviews, competitor analysis, and screenshot generation for iOS and Android. Written in TypeScript.

Best for

Best for
Developers building AI agents that need app store optimization data.

Use cases

• Let an AI agent monitor app store rankings and keyword positions
• Automate competitor analysis across app stores
• Generate app store screenshots via agent-driven workflows

How to use

Install

claude mcp add sonar -e SONAR_API_KEY=aso_your_key_here -- npx -y @sonarapp/mcp

Tools exposed

• sonar_app_lookup
• sonar_app_search
• sonar_app_aso_score
• sonar_app_extract_keywords
• sonar_app_reviews
• sonar_app_revenue
• sonar_keyword_search
• sonar_keyword_metrics
• sonar_keyword_suggestions
• sonar_top_charts
• sonar_list_apps
• sonar_get_app
• sonar_app_keywords
• sonar_app_rankings
• sonar_app_changes
• sonar_keyword_rankings
• sonar_competitor_keywords
• sonar_competitor_landscape
• sonar_create_product
• sonar_track_app

Tested with

Claude Desktop, Claude Code, Cursor, Cline

Example client config

{\n  "mcpServers": {\n    "sonar": {\n      "command": "npx",\n      "args": ["-y", "@sonarapp/mcp"],\n      "env": {\n        "SONAR_API_KEY": "aso_your_key_here"\n      }\n    }\n  }\n}

Notes

MCP server that exposes 47 App Store Optimization tools to AI agents. Covers keyword research, rank tracking, top charts, reviews, competitor analysis, and screenshot generation for iOS and Android. Written in TypeScript.

0 stars on GitHub. Last updated 2026-08-17. Licensed MIT.

Use cases

• Let an AI agent monitor app store rankings and keyword positions
• Automate competitor analysis across app stores
• Generate app store screenshots via agent-driven workflows

Pros

• Broad toolset: 47 ASO functions in one server
• Cross-platform: supports both iOS and Android
• Open source and TypeScript-based

Cons

• No stars or community traction yet (0 stars on GitHub)
• Vendor is ‘Various’, so support and maintenance are uncertain
• Requires an MCP-compatible client to use

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.