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Applyra

Official registry Marketing and sales

App Store Optimization data for AI agents: keyword ranks, scores, competitors, charts

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http applyra 'https://www.applyra.io/api/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "applyra": {
            "type": "http",
            "url": "https://www.applyra.io/api/mcp"
        }
    }
}
NPM package @applyra/mcp-server
Claude Code 
claude mcp add applyra -e 'APPLYRA_API_KEY=<your applyra_api_key>' -- npx -y @applyra/mcp-server@1.8.0
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "applyra": {
            "command": "npx",
            "args": [
                "-y",
                "@applyra/mcp-server@1.8.0"
            ],
            "env": {
                "APPLYRA_API_KEY": "<your applyra_api_key>"
            }
        }
    }
}

Environment variables

  • APPLYRA_API_KEY required secret Applyra API key, generated at https://www.applyra.io/dashboard/api

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. @applyra/mcp-server
  2. Remote server (ChatGPT, Claude, Gemini CLI, VS Code, Cursor)
  3. Prerequisites (local server)
  4. Installation
  5. Available Tools
  6. Learn more
  7. License

@applyra/mcp-server

MCP (Model Context Protocol) server for Applyra. It connects your App Store and Google Play keyword data to AI assistants like ChatGPT, Claude, Cursor, Codex, VS Code Copilot, and more.

30 tools covering keyword rank tracking, difficulty and traffic scoring, listing audits and metadata simulation, competitor visibility, notes on your charts and what followed each one, autocomplete mining, niche clustering, and top charts, on the App Store and Google Play.

Remote server (ChatGPT, Claude, Gemini CLI, VS Code, Cursor)

The same tools are hosted at https://www.applyra.io/api/mcp (Streamable HTTP, OAuth). Nothing to install and no API key: the client opens an Applyra sign-in page, you approve it, and it is connected. It requires an Applyra account with the Unlimited plan.

  • ChatGPT: on chatgpt.com, Plugins > Add > Create custom MCP server, with this URL and OAuth authentication, then Create as a plugin. Read and write tools both work on a ChatGPT Plus plan.
  • Claude: add it from the Claude directory in one click (on the web, desktop, mobile and in Claude Code), or as a custom connector with this URL (Customize > Connectors > Add custom connector).
  • Gemini CLI: gemini extensions install https://github.com/applyra-io/mcp-server, then sign in when Gemini CLI asks.
  • VS Code, Cursor, Perplexity, Smithery and any client that supports remote MCP servers with OAuth: add this URL as a remote (HTTP) server.

Connected assistants are listed, and can be disconnected, at applyra.io/dashboard/mcp.

Prerequisites (local server)

Installation

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "applyra": {
      "command": "npx",
      "args": ["-y", "@applyra/mcp-server"],
      "env": {
        "APPLYRA_API_KEY": "your_api_key"
      }
    }
  }
}
Cursor

Install the Applyra plugin from the Cursor Marketplace and set the APPLYRA_API_KEY environment variable. The plugin also ships an ASO research skill that guides the agent through the tools.

Or add the server manually to .cursor/mcp.json or ~/.cursor/mcp.json:

{
  "mcpServers": {
    "applyra": {
      "command": "npx",
      "args": ["-y", "@applyra/mcp-server"],
      "env": {
        "APPLYRA_API_KEY": "your_api_key"
      }
    }
  }
}
VS Code (GitHub Copilot)

Add to .vscode/mcp.json:

{
  "servers": {
    "applyra": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@applyra/mcp-server"],
      "env": {
        "APPLYRA_API_KEY": "your_api_key"
      }
    }
  }
}
Claude Code
claude mcp add applyra -e APPLYRA_API_KEY=your_api_key -- npx -y @applyra/mcp-server
Codex

Note --env, where Claude Code takes -e.

codex mcp add applyra --env APPLYRA_API_KEY=your_api_key -- npx -y @applyra/mcp-server
Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "applyra": {
      "command": "npx",
      "args": ["-y", "@applyra/mcp-server"],
      "env": {
        "APPLYRA_API_KEY": "your_api_key"
      }
    }
  }
}

Available Tools

ToolDescription
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
inspect_keywordDeep-analyze any keyword: difficulty, traffic, KEI, top 20 apps, related keywords
list_keyword_inspectionsPast keyword inspections with their scores
run_autocompleteFetch autocomplete suggestions from the App Store or Google Play
list_autocomplete_historyPast autocomplete queries
run_niche_analysisCluster a niche topic into sub-niches with opportunity scores
list_niche_analysesPast niche analyses
top_chartsTop apps chart for a store/country/category/collection, with daily rank movement
list_top_chart_categoriesCategories and collections supported by top_charts, per store
get_keyword_rank_historyDaily rank evolution over a date range
get_app_score_historyDaily visibility score history for an app, with the notes and updates in the range
list_notesThe notes on an app's charts, numbered like their flags
add_noteNote what you did on a day (a campaign, a metadata change, a launch)
update_noteChange the text or the day of a note
delete_noteDelete a note
compare_eventsVisibility, or a keyword's rank, before and after each note and app update
get_aso_healthFull listing audit for an app: coverage, targeting and appeal, every field, and what to fix
check_metadataCheck draft listing text against each store's limits and forbidden copy. Instant, no store lookup
simulate_metadataScore a listing that does not exist yet and see the gain against the app's current score
list_metadata_simulationsListing drafts already scored on the account (titles and scores)
get_metadata_simulationOne saved draft in full: its four fields, its context and its findings
list_competitorsCompetitor pairs with side-by-side visibility scores
add_competitorAdd a competitor app to one of your applications by its store bundle ID
remove_competitorRemove a competitor relationship by its internal ID
get_account_usageCurrent usage vs. plan limits

Learn more

License

MIT. See LICENSE.

Frequently asked questions

What is Applyra?

App Store Optimization data for AI agents: keyword ranks, scores, competitors, charts

How do I install Applyra?

It runs as a remote server. In Claude Code: claude mcp add --transport http applyra 'https://www.applyra.io/api/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Applyra need an API key?

Yes. It expects APPLYRA_API_KEY, which you set in its configuration.

Is Applyra open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Applyra?

It is published by applyra-io. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.