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ClaudeWave

Open source, self-hosted App Store Optimization toolkit for the Apple App Store and Google Play.

MCP ServersRegistry oficial53 estrellas6 forks● TypeScriptAGPL-3.0Actualizado today
ClaudeWave Trust Score
95/100
✓ Verified
Passed
  • ✓Open-source license (AGPL-3.0)
  • ✓Actively maintained (<30d)
  • ✓Clear description
  • ✓Topics declared
  • ✓Documented (README)
Last scanned: 10/15/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/AsoBeast/asobeast
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "asobeast": {
      "command": "node",
      "args": ["/path/to/asobeast/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/AsoBeast/asobeast and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

<div align="center">
  <a href="https://asobeast.com"><img src="docs/images/logo-mark.png" alt="AsoBeast" width="112" /></a>
  <h1>AsoBeast</h1>
  <p><strong><a href="https://asobeast.com">AsoBeast</a> is an App Store Optimization (ASO) tool and keyword rank tracker for the Apple App Store and Google Play.</strong></p>
  <p>Use the hosted service at <a href="https://asobeast.com">asobeast.com</a>, or self-host the open source edition on your own server.</p>
  <p>
    <a href="LICENSE"><img alt="License: AGPL-3.0" src="https://img.shields.io/badge/license-AGPL--3.0-blue.svg" /></a>
    <a href="https://github.com/AsoBeast/asobeast/releases"><img alt="Release" src="https://img.shields.io/github/v/release/AsoBeast/asobeast" /></a>
    <a href="https://docs.asobeast.com"><img alt="Documentation" src="https://img.shields.io/badge/docs-docs.asobeast.com-orange" /></a>
    <img alt="Stores" src="https://img.shields.io/badge/stores-App%20Store%20%2B%20Google%20Play-lightgrey" />
  </p>
  <p>
    <a href="https://asobeast.com"><strong>Website</strong></a> ·
    <a href="https://docs.asobeast.com/quickstart"><strong>Quickstart</strong></a> ·
    <a href="https://docs.asobeast.com/install/docker-compose"><strong>Self-host</strong></a> ·
    <a href="https://docs.asobeast.com/mcp/introduction"><strong>MCP server</strong></a> ·
    <a href="https://docs.asobeast.com/api-reference/introduction"><strong>API</strong></a> ·
    <a href="CHANGELOG.md"><strong>Changelog</strong></a>
  </p>
</div>

## What is AsoBeast?

AsoBeast is an App Store Optimization (ASO) tool and keyword rank tracker for the Apple App Store and Google Play. It imports a listing, tracks keyword rankings daily to a depth of 200, watches competitors, reviews and metadata, and turns that history into a prioritized queue of ASO work. This repository is the free, open source edition that you run on your own server, and the hosted service at [asobeast.com](https://asobeast.com) runs the same code.

Every store request runs on the machine hosting AsoBeast as an ordinary public search or page request, so Apple and Google see each tracked phrase the way they see any search. There is no ASO vendor to sign up with, no API key to buy, and no ASO vendor that learns which keywords you target. Beyond those store requests, your data stays in your deployment unless you explicitly enable an outbound integration such as webhook alerts, email, OpenAI assistance, Apple Ads search popularity or store status updates.

## Why AsoBeast?

- **No accounts, no vendor API keys.** AsoBeast collects from the public store endpoints at a deliberately modest rate. You need Docker and nothing else.
- **Your keyword list is your strategy.** It lives in your database and is never sent to an ASO vendor, so no competitor intelligence product is quietly assembling it. The stores only ever see one search at a time.
- **Both stores as one tracking entity.** One app row tracks keywords across many storefronts, so `us` and `de` are markets on the same listing rather than two subscriptions.
- **Every score shows its evidence.** Popularity and difficulty carry their source, calculation version, capture date and confidence, so you can argue with a number instead of trusting it.
- **Deterministic recommendations.** Fifteen rules turn stored history into an explainable work queue. AI is optional garnish that can summarize an action, never invent or reorder one.
- **AGPL-3.0, no open core.** Every feature the hosted service runs is in this repository.

## Features

| Feature                          | What it does                                                                                                                                                                              |
| -------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Two live stores                  | Import an Apple App Store or Google Play URL, snapshot the metadata, refresh on demand and diff every field                                                                               |
| Keyword tracking                 | Track any validated storefront, see daily positions and history, bulk edit, and keep the private 100 character iOS keyword field by hand                                                  |
| Market suggestions               | Reads the languages your listing ships and suggests the storefronts that read them, with the daily request cost, then seeds a chosen market with the keywords of its own listing          |
| Rank checks to depth 200         | One search per keyword and market serves your app and all of its competitors, so competitor tracking costs no extra requests                                                              |
| Transparent scoring              | Popularity and difficulty with provenance and confidence, plus opportunity derived on read                                                                                                |
| SERP and category intelligence   | Retained SERP snapshots, volatility, entrants and movers, and free, paid and grossing category charts                                                                                     |
| Competitor discovery             | Find competitors from live search results, compare listings and find keyword gaps                                                                                                         |
| Reviews and change detection     | Sync reviews and rating history, mine review language for keyword ideas, and detect owned and competitor metadata changes                                                                 |
| ASO audit and metadata workbench | A deterministic audit rubric with history, store metadata lints and strategic keyword buckets                                                                                             |
| ASO Action Center                | Fifteen deterministic rules produce recommendations with a priority, an estimated impact, the evidence behind them, a deep link, a full lifecycle and a verified outcome                  |
| Portfolio analysis               | Group linked listings across stores and countries, compare group visibility and generate weekly digests                                                                                   |
| Alerts                           | Signed webhooks or SMTP email for rank, SERP, metadata, review and new action events, with resumable batched delivery                                                                     |
| MCP server                       | 31 read tools, plus 5 opt-in tools that change keywords, competitors and actions, over stdio or a remote endpoint, so Claude Code and Claude Desktop can work with your instance directly |

A guide for each of these lives in the [documentation](https://docs.asobeast.com).

## Quick start

### One-click deploy

[![Deploy on Railway](https://railway.com/button.svg)](https://railway.com/deploy/asobeast?referralCode=GAJ6fQ&utm_medium=integration&utm_source=template&utm_campaign=asobeast-readme)

Runs the published images on Railway with PostgreSQL and Redis, and generates every secret for you. See [deploy on Railway](https://docs.asobeast.com/install/railway).

### Docker Compose

You need [Docker](https://docs.docker.com/get-docker/) with Compose, roughly 2 GB of memory and 5 GB of disk.

```bash
git clone https://github.com/AsoBeast/asobeast.git
cd asobeast
printf 'POSTGRES_PASSWORD=%s\nAUTH_SECRET=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
chmod 600 .env
docker compose up --build -d --wait
```

Open http://localhost:3001 and create the owner account. Registration closes automatically once it exists. Safari does not keep the session cookie over plain HTTP, so use Chrome or Firefox for a local evaluation, or see [signing in returns to the sign in form](https://docs.asobeast.com/operations/troubleshooting#signing-in-returns-to-the-sign-in-form). Import a store URL and keyword tracking starts immediately.

Prefer published images to a build? `docker-compose.pull.yml` runs the same stack from GHCR without a clone:

```bash
curl -fsSLO https://raw.githubusercontent.com/AsoBeast/asobeast/main/docker-compose.pull.yml
printf 'POSTGRES_PASSWORD=%s\nAUTH_SECRET=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
chmod 600 .env
docker compose -f docker-compose.pull.yml up -d --wait
```

Full walkthrough: [quickstart](https://docs.asobeast.com/quickstart). Image tags, pinning and upgrades: [run a published release](https://docs.asobeast.com/install/published-images).

## How AsoBeast compares

|                            | AsoBeast (self-hosted)            | Subscription ASO platforms       |
| -------------------------- | --------------------------------- | -------------------------------- |
| Where store requests run   | Your machine                      | Their infrastructure             |
| Who sees your keyword list | You                               | The vendor                       |
| Cost model                 | Your hosting bill                 | Per seat, per app or per keyword |
| Keyword history            | Yours, retained on your terms     | Ends when the subscription does  |
| Score methodology          | Published, versioned, inspectable | Usually proprietary              |
| Extending it               | Fork it, it is AGPL-3.0           | File a feature request           |

A hosted AsoBeast is a separate product built from this same repository. Self-hosted installations get every feature.

## Tech stack

pnpm and Turborepo, TypeScript strict throughout, NestJS, Prisma, PostgreSQL 18, BullMQ, Redis 8, Next.js with Tailwind, Docker Compose.

Contributor setup, architecture and the module map: [local development](https://docs.asobeast.com/install/local-development) and [how AsoBe
app-storeapp-store-optimizationasogoogle-playkeyword-trackingmcpnestjsnextjsself-hostedtypescript

Lo que la gente pregunta sobre asobeast

¿Qué es AsoBeast/asobeast?

+

AsoBeast/asobeast es mcp servers para el ecosistema de Claude AI. Open source, self-hosted App Store Optimization toolkit for the Apple App Store and Google Play. Tiene 53 estrellas en GitHub y su última actualización registrada es del 2026-10-14.

¿Cómo se instala asobeast?

+

Puedes instalar asobeast clonando el repositorio (https://github.com/AsoBeast/asobeast) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar AsoBeast/asobeast?

+

Nuestro agente de seguridad ha analizado AsoBeast/asobeast y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene AsoBeast/asobeast?

+

AsoBeast/asobeast es mantenido por AsoBeast. La última actividad registrada en GitHub es del 2026-10-14, con 8 issues abiertos.

¿Hay alternativas a asobeast?

+

Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

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