How to Use the AppsFlyer (Pull API) MCP in CrewAI

Deploy autonomous agent teams in CrewAI to monitor marketing attribution data and analyze media source performance.

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Connect AppsFlyer (Pull API) MCP to CrewAI

Create your Vinkius account to connect AppsFlyer (Pull API) 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.

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Setup AppsFlyer (Pull API) with CrewAI

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Perplexity

Delegate Marketing Analysis

You assign `get_partners_report` to a dedicated media buyer agent that strictly evaluates network performance. One agent cannot effectively monitor every advertising channel simultaneously. A separate analyst agent queries `get_daily_report` to track overall daily aggregates, passing summarized findings to a manager. This distributes the workload logically across your crew.

Autonomous Geographic Audits

Your security agent executes `get_geo_report` to flag suspicious installation spikes in specific countries. Fraud detection requires cross-referencing multiple data points across regions. The agent immediately pulls `get_installs_report` for that region to inspect the raw non-organic install logs for fraudulent patterns. Finding an anomaly triggers this next step in the sequence automatically.

Filter MCP Server Endpoints

CrewAI allows you to restrict `get_uninstalls_report` strictly to your retention specialist agent. Giving every agent access to raw data creates unnecessary token bloat and confusion. You verify the initial connection using `get_account_check`, then use tool_filter to distribute specific endpoints to the right team members. Setup remains straightforward for this MCP integration even with complex permissions.

Setup guide

Set up AppsFlyer (Pull API) 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 AppsFlyer (Pull API) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent AppsFlyer (Pull API) 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="AppsFlyer (Pull API) Analyst",
        goal="Access and analyze AppsFlyer (Pull API) data via MCP.",
        backstory="Expert analyst with direct AppsFlyer (Pull API) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AppsFlyer (Pull API) 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 AppsFlyer. 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.

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Common questions about AppsFlyer (Pull API) MCP in CrewAI

Pass your Vinkius endpoint directly into the mcps array on your Agent definition. The framework automatically discovers and binds the available endpoints.

Yes. If you configure parallel execution, different agents can fetch daily reports and partner metrics at the exact same time.

Import MCPServerHTTP from the CrewAI utilities. Apply a tool_filter to ensure your analyst agent only sees aggregate tools while your data engineer agent sees raw event tools.

The framework maintains shared memory across the crew. If one agent pulls a geographic report, the others can reference that data without making a duplicate API call.

Your non-organic install logs and geographic metrics pass through a stateless proxy. Vinkius operates a strict zero-trust architecture where the container vanishes after the connection drops.

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