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  1. Home
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  3. Applyra
Applyra logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 8:30:56 AM

Applyra

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View RepositoryVisit Website
app-store-optimizationmobile-appskeyword-researchanalytics

Connects AI assistants to App Store and Google Play ASO data for ranks, audits, metadata tests, competitors, and charts.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
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Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "applyra": {
      "command": "npx",
      "args": [
        "-y",
        "@applyra/mcp-server"
      ],
      "env": {
        "APPLYRA_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (25) Directory Badge Claim listing AlternativesšŸ’» More in Developer Tools

Overview

The Applyra MCP server connects AI assistants to App Store and Google Play optimization data. It exposes tools for tracking applications and keywords, inspecting ranking factors, auditing listings, simulating metadata changes, researching competitors, mining autocomplete suggestions, and viewing top charts. The hosted endpoint uses Streamable HTTP and OAuth, while the local package runs through Node.js with an Applyra API key. Reach for it when an agent needs current ASO research or account-level tracking and analysis.

Use cases

•Track keyword ranks for mobile applications
•Audit and compare App Store or Google Play listings
•Research autocomplete terms and niche opportunities
•Simulate metadata changes before publishing
•Compare competitor visibility scores

Key features

•Keyword rank tracking and history
•ASO Health listing audits
•Metadata validation and simulation
•Autocomplete and niche analysis
•Competitor visibility comparisons
•App store top charts

Capabilities & Tool Schemas (25) ~507 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Applyra.

list_applications

List tracked apps with store metadata, ratings, keyword count and ASO Health scores

add_application

Track a new application by its store bundle ID. Fetches store metadata and computes the initial visibility score

list_keywords

Tracked keywords with current rank, favorite flag, difficulty/traffic scores

track_keywords

Track up to 20 new keywords for an application in a single call

untrack_keyword

Stop tracking a keyword for an application (soft delete)

set_keyword_favorite

Mark or unmark a tracked keyword as favorite for a specific app

How Applyra works

What Applyra does

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.

How it works

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.

Setup and configuration

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.

Tools and capabilities

The tool set supports:

  • Application tracking and account usage checks.
  • Keyword tracking, favorites, rank history, inspections, autocomplete, and niche analysis.
  • Store charts and supported chart categories or collections.
  • Listing audits, draft validation, metadata simulations, and saved simulation retrieval.
  • Competitor add, list, and remove operations.
  • Visibility and score history for tracked applications.

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.

Limitations and notes

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.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads
1.3k
Package downloads in the last 30 days.
Last commit
3d ago
Most recent push to the default branch.
Tools exposed
25
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about Applyra

Applyra is an MCP server that connects AI assistants to App Store and Google Play ASO data. Its main tools track applications and keyword ranks, inspect keyword difficulty and traffic, audit listings, simulate metadata, analyze competitors, query autocomplete, study niches, and retrieve top charts and history.

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Technical Specs & Signals

CategoryšŸ’»Developer Tools
More technical detailsExpand ā–¾
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Desktop, Cursor, Claude Code, VS Code (GitHub Copilot), OpenAI Codex CLI, Gemini CLI, Windsurf
Last updatedOct 8, 2026
9/9 checks healthy over the last 42d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit3d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 7, 2026
npm downloads1,306/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
56Quality signal: Good Ā· 56/100How this signal is calculated ā–¾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev Ā· @applyra/mcp-server (npm)

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