AppmanAi

What AppmanAi MCP server does

AppmanAi MCP server exposes App Store and Google Play research capabilities to MCP-compatible AI clients. The service covers more than 100 countries and provides read-only access to app listings, ratings, reviews, keyword metrics, rankings, competitors, and category charts.

The tools support common ASO workflows. An agent can resolve an app name to a package ID, inspect the listing, find similar apps, compare metadata in batches, and read user reviews. It can also evaluate keyword popularity and difficulty, check an app's current or historical rank, identify competitor keyword gaps, and inspect top apps in a category or search result.

A separate listing-generation tool accepts existing title and description text plus target keywords and store information, then produces revised store copy. This is a text-generation workflow rather than a package-ID lookup, so live listing data can be fetched first when needed.

How it works

AppmanAi MCP server is hosted remotely at https://appmanai.com/api/mcp; there is no local package to download. Clients communicate with the endpoint over HTTP and authenticate with OAuth 2.1. The client opens a browser for sign-in and consent, then stores the resulting token.

The tools are organized around a package ID, keyword, country, and store. Use app_search when only an app name is available, then pass the returned package ID to metadata, review, rating, ranking, or keyword tools. Batch endpoints reduce repeated calls when comparing multiple package IDs or keywords. Country and store coverage can be checked with list_countries before making regional queries.

Calls consume credits, and the README states that new accounts receive 200 free credits without a card. The published tool catalogue lists 35 read-only tools with per-call credit costs.

Setup and configuration

Add the remote URL to an MCP client, authorize it in the browser, and then use the tools from the client. The repository documents direct setup for Claude, Claude Code, Cursor, VS Code, Codex, and Gemini CLI. Examples include:

• Claude Code: claude mcp add --transport http appmanai https://appmanai.com/api/mcp
• Cursor: add the URL under the appmanai MCP server entry in mcp.json.
• VS Code: configure an HTTP server entry using the same URL.
• Codex: codex mcp add appmanai --url https://appmanai.com/api/mcp
• Gemini CLI: add the server with HTTP transport and the endpoint URL.

Other clients can connect through the documented mcp-remote stdio bridge. No environment variables or pasted API key are required according to the installation instructions.

Tools and capabilities

The tool set includes:

• App search, similar-app discovery, metadata lookup, batch metadata, worldwide ratings, rating history, and reviews.
• Current, historical, batch, and worldwide keyword rankings.
• App keyword suggestions, competitor keyword gaps, and keyword overlap across multiple apps.
• Keyword popularity, difficulty, language information, suggestions, top results, and ranking volatility.
• Category leaders, an app's category positions, historical category ranks, and starting ranks for campaigns.
• Keyword generation from listing copy and store-listing rewrites for selected keywords and stores.
• Country coverage lookup with language and per-store support information.

Ranks of zero indicate that an app was not found in the relevant results. Worldwide tools provide cross-country views, while history tools track a selected country or period.

Limitations and notes

The service is read-only for store and ASO data; the documented tools do not publish apps, edit live listings, or change rankings. Results depend on the selected store, country, language, package ID, keyword, and time window. A package ID is needed for many app-specific calls, so name-based workflows generally begin with app_search.

The service requires an authenticated account and uses credits for tool calls. The README provides coverage and setup details but does not document a local mode or API-key authentication.