What does this server do that a simple web search cannot?
It provides a curated, structured database with verified solutions, success rates, and real‑world cases, all accessible directly through your AI assistant via semantic search.
@RobertoJoseph
基本情報
Catch App Store Rejections before they happen
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"appstore-rejections": {
"command": "npx",
"args": [
"-y",
"appstore-rejections-mcp"
]
}
}
}Search for App Store rejection reasons using natural language. Paste Apple's rejection message or describe the issue. Returns matching rejection reasons ranked by relevance with solutions.
Get full details about a specific App Store rejection reason including Apple's message template, affected categories, guideline reference, and tags. Use search_rejections first to find the ID.
Get all solutions for a specific App Store rejection reason. Returns step-by-step fixes with implementation details, code examples, difficulty level, and success rates.
Look up a specific Apple App Store Review Guideline by section or subsection number. Examples: '2.1', '4.3', '5.1.1'. Returns the guideline text and any related rejection reasons.
List the most common App Store rejection reasons, sorted by frequency. Useful for understanding what reviewers look for most.
Get real-world App Store rejection cases from developers who experienced them. Filter by rejection reason, app category, or appeal status. Cases include the developer's message, Apple's response, and resolution.
App Store Rejections Mcp is an MCP (Model Context Protocol) server that gives AI assistants access to a curated database of Apple App Store rejection reasons, solutions, and real-world cases. It contains 48 rejection reasons, 51 solutions, 554 real-world cases, and all 130 Apple Review Guideline subsections.
Install via one command for Claude Code (claude mcp add --transport stdio appstore-rejections -- npx -y appstore-rejections-mcp) or add to Cursor / Claude Desktop config files with the same npx command. Once connected, the AI assistant can call built-in tools such as search_rejections, get_rejection_reason, get_solutions, get_guideline, list_common_rejections, and get_cases by describing rejection issues or asking for guidance.
It provides a curated, structured database with verified solutions, success rates, and real‑world cases, all accessible directly through your AI assistant via semantic search.
Node.js version 18 or higher is required. No additional dependencies are needed for the default setup.
The data is hosted remotely (semantic search uses pgvector embeddings). Optionally, you can point to your own Supabase instance by setting `SUPABASE_URL` and `SUPABASE_ANON_KEY` environment variables.
It uses stdio transport. The server is launched locally via `npx -y appstore-rejections-mcp`.
No API keys or authentication are required for the default configuration. Custom Supabase instances can be configured with environment variables if desired.
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