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title: Appstore Intel MCP emoji: šŸ“± colorFrom: blue colorTo: indigo sdk: docker app_port: 7860 pinned: false

appstore-intel-mcp

A remote MCP server that gives AI agents structured access to Google Play and the Apple App Store — search apps, fetch metadata, pull reviews. OAuth-protected, Streamable HTTP, deployable in minutes.

Status: early. v0.1 ships three tools. v0.2 adds review analysis, competitor discovery, and release-tracking webhooks.

Related MCP server: App Store Connect MCP Server

Tools

Tool

Purpose

search_apps

Free-text search across a storefront, returns identifiers

get_app_metadata

Full listing for one app (title, version, rating, screenshots, …)

get_reviews

Paginated reviews, sortable by recency / rating / helpfulness

Quickstart (local)

git clone https://github.com/gautam84/appstore-intel-mcp
cd appstore-intel-mcp
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
cp .env.example .env             # leave API_KEYS empty for dev
python -m appstore_intel_mcp     # serves on http://localhost:8000/mcp

Connect from Claude Code:

claude mcp add --transport http appstore-intel http://localhost:8000/mcp

Deploy to Koyeb

koyeb secret create api_keys --value "$(openssl rand -hex 32)"
koyeb app create -f koyeb.yaml

Then in Claude.ai → Settings → Connectors → Add custom connector, paste https://<your-app>.koyeb.app/mcp and the bearer token.

Architecture

mcp client ──► Streamable HTTP ──► FastMCP
                                     │
                  ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¼ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”
                  ā–¼                  ā–¼                  ā–¼
            tools/search     tools/metadata      tools/reviews
                  │                  │                  │
                  └──────► registry ā”€ā”“ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜
                              │
                ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”
                ā–¼                           ā–¼
       providers/google_play        providers/app_store
       (google-play-scraper)        (iTunes Search + RSS)

All tool calls go through an in-memory TTL cache (cache.py) so the same app metadata isn't re-scraped every request.

Roadmap

  • analyze_reviews — theme extraction + sentiment using a local embedding model

  • compare_apps — side-by-side matrix

  • find_competitors — category + embedding-based similarity

  • Release/rating-drop webhooks

  • Full OAuth 2.1 + PKCE flow for multi-tenant hosting

  • Redis cache for horizontal scale

License

MIT.

Related MCP Connectors

  • Your agent needs app-store data — what an app looks like on the App Store and Google Play, what reviewers say, and what ranks for a search in a given country. **What you can ask for** • "What does this app's store listing look like, and how is it rated?" • "Pull recent reviews for this app and group the complaints." • "What apps rank for this search term in Japan?" • "List the top apps in this category on both stores." • "Compare this app's listing on iOS and Android." **How to use it** Point any MCP client at https://mcp.aisa.one/seo-apps/mcp and sign in with OAuth — there is no key to create or paste. 37 tools: Apple App Store and Google Play app info, app lists, category listings, reviews and store search results, in live and queued forms, with categories, languages and locations for each. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Read the store listing here, then ask the same agent what the app's website ranks for — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.

  • Live App Store & Google Play data for AI agents: app discovery, ASO keywords, reviews.

  • MCP server connecting AI agents to 100+ apps (Gmail, Slack, Notion, GitHub) via one-click OAuth.

  • The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.

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