@applyra/mcp-server

MCP serverAI & models

Lets your agent look up App Store optimization data like keyword rankings, competitor info, and app chart positions.

Use @applyra/mcp-server in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add @applyra/mcp-server and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use @applyra/mcp-server

Details

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

@applyra/mcp-serverStart free
About this server

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

Install @applyra/mcp-server

The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user applyra-mcp-server 'https://www.applyra.io/api/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://www.applyra.io/api/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=applyra-mcp-server&config=eyJ1cmwiOiJodHRwczovL3d3dy5hcHBseXJhLmlvL2FwaS9tY3AifQ==

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://www.applyra.io/api/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add applyra-mcp-server --url 'https://www.applyra.io/api/mcp'

    Run it once, then sign in with codex mcp login applyra-mcp-server if the server asks for an account.

From the project's README

As published by applyra-io/mcp-server in README.md.

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.

25 tools covering keyword rank tracking, difficulty and traffic scoring, listing audits and metadata simulation, competitor visibility, autocomplete mining, niche clustering, and top charts, on the App Store and Google Play.

Remote server (ChatGPT, Claude)

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: Customize > Connectors > Add custom connector, with this URL.

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
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.

Signals

Last commit
Oct 2026
Weekly downloads
267
Weekly_downloads
203 weekly_downloads
Advanced
Delivery
Applyra MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-applyra-mcp-server
Source
github.com/applyra-io/mcp-server
Hosted endpoint
https://www.applyra.io/api/mcp