How to Use the Awin MCP in CrewAI

Q: How does CrewAI handle transaction data from Awin?

Your agents use listtransactions to pull up to 31 days of data. They store this temporarily in their shared memory to cross-reference sales records and build commission reports.

Deploy a CrewAI team to autonomously research Awin programs, monitor transactions, and distribute tracking links.

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Connect Awin MCP to CrewAI

Create your Vinkius account to connect Awin 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 Awin with CrewAI

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Let CrewAI Agents Recruit Top Advertisers

Discover new affiliate partnerships using the `list_available_programmes` tool in a multi-agent team. Your Researcher agent scans for high-performing partners to spot gaps in your current monetization strategy. Your crew decides whether to apply to the program, coordinating their decisions through shared memory without human intervention. Once a gap is found, a Negotiator agent uses `list_programmes` to evaluate the terms.

Audit Affiliate Earnings with an MCP Server Crew

Pull raw sales data using the `list_transactions` tool to build an autonomous financial operations team. Your Auditor agent calls this tool while an Analyst agent runs `get_aggregated_report` to find conversion trends. Let the bots crunch numbers. The agents share this data to generate a markdown summary. If a transaction drops below a certain threshold, a Coordinator agent flags the anomaly and alerts your team via your communication channels.

Generate Optimized Promo Links Automatically

Extract active voucher codes using the `list_promotions` tool so your creative agents can work hand-in-hand with technical ones. A Copywriter agent drafts promotional content for these codes immediately. Meanwhile, a Link Builder agent takes those destinations and runs `generate_tracking_link` to create monetized URLs. The final output is a fully packaged, ready-to-publish post containing working affiliate links.

Setup guide

Set up Awin 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 Awin tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius MCP Server endpoint directly into the agent's `mcps` list during initialization. For more granular control, use `MCPServerHTTP` to filter which agents can run `generate_tracking_link`.

Yes, CrewAI excels at this. One agent can fetch active programs using `list_joined_programmes` while another agent filters them based on commission rates, sharing findings in real-time.

Your agents use `list_transactions` to pull up to 31 days of data. They store this temporarily in their shared memory to cross-reference sales records and build commission reports.

CrewAI supports stdio, SSE, and Streamable HTTP transports. When running autonomous crews in cloud environments, the MCP connection via Vinkius is the most reliable option for stable execution.

Your publisher program lists and transaction records are isolated in a secure V8 sandbox on Vinkius. This setup ensures your raw API keys and publisher details are never exposed to LLM providers or saved locally.

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