How to Use the Ad4Game MCP in CrewAI

Deploy autonomous media buying teams to manage your Ad4Game campaigns using CrewAI and this MCP Server.

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Connect Ad4Game MCP to CrewAI

Create your Vinkius account to connect Ad4Game 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 Ad4Game with CrewAI

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Perplexity

Assign roles for Ad4Game MCP Server operations

Managing gaming ads requires different skill sets. One person researches the market, another pulls the assets, and a third analyzes the margins. You can replicate that exact structure in code. Assign `list_offers` to a Research Agent to find trending games, while a Creative Agent runs `get_creatives` to prep the actual ad units.

Analyze campaign profitability autonomously

Media buyers spend hours matching payout rates against traffic costs. A specialized crew does this continuously without human intervention. The Analyst Agent grabs the specific data via `get_offer_details`. It checks the payout structure and geo-restrictions, compares it against historical data in shared memory, and writes a strategy brief.

Coordinate complex ad audits

Keeping track of hundreds of gaming offers is impossible for a single script. You need a hierarchical approach where a manager delegates the heavy lifting. The manager agent reviews the overall strategy and assigns tasks to worker agents. They query the network, extract the creatives, and report back, allowing the manager to compile a final inventory report.

Setup guide

Set up Ad4Game 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 Ad4Game tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Ad4Game Analyst",
    goal="Access and analyze Ad4Game data via MCP.",
    backstory="Expert analyst with direct Ad4Game access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Ad4Game 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="Ad4Game Analyst",
        goal="Access and analyze Ad4Game data via MCP.",
        backstory="Expert analyst with direct Ad4Game access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Ad4Game 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 Ad4Game. 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 Ad4Game MCP in CrewAI

Pass the Vinkius endpoint URL directly into the mcps array when defining your agent. CrewAI handles the tool discovery and binding automatically.

Yes. You can use MCPServerHTTP from crewai.mcp and apply a tool_filter. This lets you give the research agent access to offers without letting it touch creatives.

They use built-in shared memory. When the first agent pulls campaigns, the context gets saved so the next agent can analyze those specific offers without re-querying the API.

The framework supports stdio, SSE, and Streamable HTTP. Vinkius provides a standard HTTP endpoint that works out of the box.

Not a chance. The Vinkius platform processes your proprietary payout rates and ad tags inside an isolated, single-use container that prevents any cross-tenant data leakage.

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