An MCP server for searching the App Store, checking keyword rankings, analyzing competition, and tracking trends — powered by a native macOS binary
An MCP server for searching the App Store, checking keyword rankings, analyzing competition, and tracking trends — powered by a native macOS binary for fast, direct
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| compact | default) — Key fields only, no descriptions. Best for most queries. |
| full | Includes app descriptions and release notes. |
| complete | All fields from the API response. Verbose (~4KB/app). |
| search_apps | iTunes Search API with attribute/genre filtering |
| search_ranked | MZStore API — results match actual App Store rankings |
| lookup_app | Look up an app by ID, bundle ID, or App Store URL |
| top_charts | Current top chart rankings (free, paid, grossing) |
| find_app_rank | Check where an app ranks for a single keyword |
| check_app_rankings | Check an app's rank across auto-generated keywords (slow) |
| analyze_keyword | Competitive analysis with competitiveness score (0-100) |
| app_competitors | Find an app's top competitors via overlapping search results |
| compare_keywords | Compare competitiveness across multiple keywords (slow) |
| discover_trending | Discover trending categories from new chart entries |
| version | Get the server version |
| Prompt | Description |
| competitive_analysis | Guided workflow: look up an app, find competitors, analyze keyword rankings, and get actionable recommendations. Args: keyword_or_app_id (required), storefront |
| market_research | Guided workflow: search rankings, top charts, competitiveness analysis, trending discovery, and opportunity identification. Args: category (required), storefron |
{
"mcpServers": {
"appstore-mcp-server": {
"command": "uvx",
"args": [
"appstore-mcp-server"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
iptables for MCP — blocks dangerous tool calls, scans for secrets, logs everything.
This project implements an **MCP (Model Context Protocol) server** for text translation. The server supports two transports:
Token holder distribution — top holders, whale count, concentration score. x402.
Agent-native notes, tasks, dev-docs, vaults, sync & handoffs. MCP + OpenAPI dual surface.