Connects AI assistants to App Store and Google Play ASO data for ranks, audits, metadata tests, competitors, and charts.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent ā or use 1-click editor setup below.
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š” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Applyra.
list_applicationsList tracked apps with store metadata, ratings, keyword count and ASO Health scores
add_applicationTrack a new application by its store bundle ID. Fetches store metadata and computes the initial visibility score
list_keywordsTracked keywords with current rank, favorite flag, difficulty/traffic scores
track_keywordsTrack up to 20 new keywords for an application in a single call
untrack_keywordStop tracking a keyword for an application (soft delete)
set_keyword_favoriteMark or unmark a tracked keyword as favorite for a specific app
The Applyra MCP server gives an AI assistant access to App Store and Google Play ASO workflows. It can list tracked applications, add apps by store bundle ID, and report store metadata, ratings, keyword counts, and ASO Health scores.
Keyword tools cover tracked terms, current ranks, favorites, difficulty, traffic, and historical movement. An agent can add up to 20 keywords in one call, remove tracked terms with a soft delete, or inspect a keyword for KEI, related terms, the top 20 apps, and other scoring details. Autocomplete queries, niche analyses, and their saved results are also available.
Listing research includes full ASO Health audits, metadata limit and forbidden-copy checks, and scoring for drafts that do not yet exist in a store. Competitor relationships provide side-by-side visibility scores, while chart tools report app rankings by store, country, category, or collection.
The Applyra MCP server is available as a hosted Streamable HTTP endpoint at https://www.applyra.io/api/mcp. Remote clients authenticate with OAuth through an Applyra sign-in flow. The hosted connection requires an Applyra account on the Unlimited plan and does not require a local installation or API key.
For local use, the npm package runs with Node.js 20 or later and communicates with Applyra using an API key. The same account-backed tools are then exposed to a compatible MCP client over the local process. Connected assistants can be reviewed or disconnected from the Applyra dashboard.
For a local installation, create an Applyra API key and set APPLYRA_API_KEY in the MCP client's server configuration. The documented setup uses npx -y @applyra/mcp-server as the command. Configuration examples are provided for Claude Desktop, Cursor, VS Code with GitHub Copilot, Claude Code, Codex, and Windsurf.
Remote setup uses the hosted URL and OAuth instead. The README documents remote connections for ChatGPT, Claude, Gemini CLI, VS Code, Cursor, Perplexity, Smithery, and other clients that support remote MCP servers with OAuth. Gemini CLI can install the repository as an extension.
The tool set supports:
The Applyra MCP server can both read account data and perform supported changes, including adding applications, tracking or untracking keywords, changing favorites, managing competitors, and saving analysis inputs.
An Applyra account is required. The local server requires the Unlimited plan, Node.js 20 or later, and an API key; the hosted connection also requires the Unlimited plan but uses OAuth instead. The README does not state that the server supports plans other than Unlimited for MCP access.
Metadata checking is described as an instant validation that does not query a store. Metadata simulation scores a proposed listing against an app's current score, but it does not publish the draft. Keyword tracking is limited to 20 new keywords per track_keywords call.
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