MCP server

My App Store Ranking Official

com.myappstoreranking/myappstoreranking

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Access to your Apple App Store and Google Play Store rankings, competitors and chart moves.

Working at last checkVerified publisher: myappstoreranking.comAbout 1,865 tokens per request once connected9 tools

Website

https://mcp.myappstoreranking.com/mcp

At a glance

Type: MCP server
Publisher: myappstoreranking.com (verified by the MCP Registry)
Status: Working at last check
Tools: 9
Token cost: About 1,865 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http myappstoreranking https://mcp.myappstoreranking.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.myappstoreranking]
url = "https://mcp.myappstoreranking.com/mcp"

Gemini CLI

{"mcpServers":{"myappstoreranking":{"httpUrl":"https://mcp.myappstoreranking.com/mcp"}}}

Cursor

{"mcpServers":{"myappstoreranking":{"url":"https://mcp.myappstoreranking.com/mcp"}}}

VS Code

{"servers":{"myappstoreranking":{"type":"http","url":"https://mcp.myappstoreranking.com/mcp"}}}

Antigravity

agy mcp add myappstoreranking https://mcp.myappstoreranking.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"myappstoreranking","server_url":"https://mcp.myappstoreranking.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"myappstoreranking","server_url":"https://mcp.myappstoreranking.com/mcp"}

Tools

get_app_country_ranks ~260 tokens
The country grid for a single app over a date window, with the previous window's rank for comparison, plus the per-platform breakdown. Works for any app in the catalog, not only tracked ones, but untracked apps return a single recent day rather than a full window. Example question: "Where does my a
get_app_history ~264 tokens
Raw rank observations, newest first, for trend questions. Filter by country, platform, chart type or category, because an unfiltered portfolio-wide history is large and will be truncated. Only apps the user tracks have history. Example question: "Show my app's daily rank in France over the last mon
get_apps_overview ~238 tokens
One row per tracked app: how many countries it charted in, how many top 5 and top 25 placements it holds, the change against the equal-length window before, and its single best chart position. Use this for 'how is my portfolio doing', then get_app_country_ranks to drill into one app. Example questi
get_chart_top ~234 tokens
Who ranks in a given country, platform, chart type and category on a given day, flagging the rows the user tracks. Defaults to the most recent captured day. Use list_reference_data for valid country codes, platforms and category ids. Example question: "Who is in the French Music top chart on iPhone
get_daily_report ~143 tokens
The same analysis the user's email report is built from: portfolio summary, what needs attention, wins, competitor movements and new entrants. The best single call for a scheduled 'what happened overnight' digest. Example question: "What happened with my apps overnight?"
get_leaders ~274 tokens
Which apps dominated a chart over a date window: median rank, best rank, days present, days at number one, movement against the previous window, and whether the app is new to the chart. This is the tool for 'who moved into the top 10 this week'. Example question: "Who moved into the French Music to
get_rivals ~234 tokens
Competitors discovered from the data rather than declared: apps that appear in the same charts as the user's own apps and sit ahead of them, ranked by relevance, with how often and by how much they lead. Example question: "Who is beating my app right now, and by how much?"
list_my_apps ~123 tokens
Returns every tracked app with its store id, store, platforms, categories and whether it is one of the user's own apps or a competitor they watch. Call this first: every other tool identifies an app by the appStoreId returned here. Example question: "Which apps am I tracking?"
list_reference_data ~95 tokens
The enum values every other tool accepts. Call this before guessing a country code or category id: invalid parameters fail, and failed calls still count against the daily quota.

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