How to Use the Mobile Action MCP in CrewAI

Q: How do CrewAI agents share Mobile Action keyword data?

CrewAI agents use shared memory to pass outputs from gettrackedkeywords to downstream tasks. A researcher agent can fetch the keywords, and an analyst agent can immediately run getkeywordranking on those exact terms.

Q: Can I restrict which CrewAI agents have access to Mobile Action tools?

Yes. You can use the toolfilter in CrewAI to assign specific tools, like getmarketestimations, only to your financial analyst agent while keeping other agents focused on reviews.

Q: Can a CrewAI agent analyze competitor custom product pages?

Yes. A creative analyst agent can invoke getcppdetails to inspect competitor landing pages, while a search agent runs searchapps to see how those pages perform in search results.

Deploy a specialized crew of autonomous marketing agents using CrewAI and Mobile Action.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mobile Action MCP to CrewAI

Create your Vinkius account to connect Mobile Action to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Mobile Action with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent competitor intelligence teams

`get_ad_creatives` allows your specialized CrewAI research agent to collect competitor visual assets while an analyst agent evaluates their market impact. Because CrewAI supports hierarchical execution, a manager agent coordinates these Mobile Action research tasks. Your crew works autonomously, pulling live creatives and ranking them by performance without manual input.

Automated app store review monitoring

`get_app_reviews` feeds raw customer feedback directly to your CrewAI customer support agent. This MCP Server integration allows your crew to collaborate on escalation tasks. A second moderator agent analyzes the rating history via `get_rating_history` to isolate sudden drops in app satisfaction.

Autonomous ASO keyword research crews

`get_tracked_keywords` provides the starting point for your CrewAI optimization team. An ASO specialist agent takes those keywords, runs `get_related_keywords`, and passes the new terms to a strategist agent to evaluate ranking difficulty. The CrewAI agents work sequentially, passing structured context from one tool to the next using live Mobile Action data.

Setup guide

Set up Mobile Action MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Mobile Action tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Mobile Action Analyst",
    goal="Access and analyze Mobile Action data via MCP.",
    backstory="Expert analyst with direct Mobile Action access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Mobile Action transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Mobile Action Analyst",
        goal="Access and analyze Mobile Action data via MCP.",
        backstory="Expert analyst with direct Mobile Action access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Mobile Action transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mobile Action. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Mobile Action now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Mobile Action MCP in CrewAI

CrewAI agents use shared memory to pass outputs from `get_tracked_keywords` to downstream tasks. A researcher agent can fetch the keywords, and an analyst agent can immediately run `get_keyword_ranking` on those exact terms.

Yes. You can use the `tool_filter` in CrewAI to assign specific tools, like `get_market_estimations`, only to your financial analyst agent while keeping other agents focused on reviews.

You pass the Vinkius HTTP endpoint directly into your CrewAI Agent configuration using the `mcps` parameter. The framework automatically registers the 12 available marketing tools via the MCP standard.

Yes. A creative analyst agent can invoke `get_cpp_details` to inspect competitor landing pages, while a search agent runs `search_apps` to see how those pages perform in search results.

Your credentials remain encrypted in our zero-trust Vinkius MCP gateway. Only the raw JSON responses from endpoints like `get_app_info` are passed to your local CrewAI environment, keeping your developer keys entirely hidden.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript