How to Use the Ko-fi MCP in CrewAI

Deploy a collaborative crew of agents to monitor your Ko-fi account with CrewAI.

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Connect Ko-fi MCP to CrewAI

Create your Vinkius account to connect Ko-fi 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 Ko-fi with CrewAI

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Specialized Ko-fi monitoring crews

Assign a dedicated agent to track shop orders while another focuses on donations. By using the `list_transactions` tool, your crew gathers a complete picture of your creator income. This role-based setup ensures that no detail is missed. One agent handles the data collection, and the rest of the crew acts on the findings to keep your work organized.

Autonomous Ko-fi reporting for CrewAI

Run your reporting on a schedule without human help. Your crew can periodically pull transactions and generate summaries of your monthly goals. This removes the manual grind of checking your dashboard. You just set the agent's objective, and it uses the `list_transactions` tool to fetch what it needs to write the report.

Multi-agent coordination for Ko-fi

Create a chain of command for your financial operations. If a researcher agent finds a large order, it passes that context to a manager agent that decides whether to send a personalized thank you note. This architecture lets you scale your business operations. You define the agents, and the MCP server provides the tools they need to execute their tasks.

Setup guide

Set up Ko-fi 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 Ko-fi tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Ko-fi 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 Ko-fi. 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 Ko-fi MCP in CrewAI

You define the server URL directly in your agent configuration. The `list_transactions` tool becomes available to all agents in the crew once it is added to the MCP list.

Yes, CrewAI supports shared memory. Once one agent retrieves transaction data, other agents in the crew can access that context to perform their own tasks.

The tool retrieves history based on what the API provides. Your agent can process this information in chunks if you have a large volume of transactions to review.

You set up the auth endpoint when defining the MCP server. This keeps your Ko-fi credentials separate from the agent logic, ensuring only authorized crews access your data.

Your transaction records are processed within a secure, isolated sandbox. The data is only used by your agents during the session and is never persisted elsewhere.

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