How do I get a Mobile Action API Token?

API access is available for Enterprise customers. You can find or request your token in the API section of the Mobile Action dashboard.

Which app stores are covered?

Mobile Action covers both the Apple App Store (iOS) and Google Play Store (Android).

What is the format for country codes?

Use standard ISO 3166-1 alpha-2 codes (e.g., 'US' for United States, 'BR' for Brazil, 'GB' for United Kingdom).

Mobile Action MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Mobile Action
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Mobile Action through Vinkius, pass the Edge URL in the `mcps` parameter and every Mobile Action tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Mobile Action Specialist",
    goal="Help users interact with Mobile Action effectively",
    backstory=(
        "You are an expert at leveraging Mobile Action tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Mobile Action "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Mobile Action MCP Server

Connect your Mobile Action account to your AI agent and gain a competitive edge in the app stores through natural conversation.

When paired with CrewAI, Mobile Action becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Mobile Action tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

ASO Intelligence — Track keyword rankings and history for iOS and Android apps across different countries.
Market Estimations — Access estimated downloads, revenue, and active users for any app in the store.
Ad Intelligence — Analyze ad creatives and distribution strategies used by your competitors.
Keyword Expansion — Get related keyword suggestions to optimize your store listing.
App Discovery — Search for apps and monitor top charts by category and country.
Reputation Monitoring — Retrieve app reviews and historical rating performance.

The Mobile Action MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mobile Action to CrewAI via MCP

Follow these steps to integrate the Mobile Action MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Mobile Action

Why Use CrewAI with the Mobile Action MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Mobile Action through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Mobile Action + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Mobile Action MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Mobile Action for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Mobile Action, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Mobile Action tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Mobile Action against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Mobile Action MCP Tools for CrewAI (12)

These 12 tools become available when you connect Mobile Action to CrewAI via MCP:

get_ad_creatives

Get app advertising creatives

get_app_info

Get detailed app store information

get_app_reviews

Get app customer reviews

get_cpp_details

Get Custom Product Page details

get_keyword_ranking

Get keyword ranking history

get_market_estimations

Get download and revenue estimations

get_rating_history

Get app rating history

get_related_keywords

Get related ASO keywords

get_top_apps

Get top charts by category

get_tracked_apps

List apps tracked in the dashboard

get_tracked_keywords

List keywords tracked in the dashboard

search_apps

Search for apps in store

Example Prompts for Mobile Action in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Mobile Action immediately.

"Show me the top 10 Finance apps in the US App Store."

"What is the keyword ranking history for 'fitness' in the UK for app ID 123456789?"

"Search for news related apps in Brazil on Android."

Troubleshooting Mobile Action MCP Server with CrewAI

Common issues when connecting Mobile Action to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Mobile Action + CrewAI FAQ

Common questions about integrating Mobile Action MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.