How to Use the Mollie MCP in CrewAI

Q: How do I filter tools for a specific CrewAI agent?

Use the toolfilter option in your agent setup. This ensures your research agent doesn't have access to payment creation tools.

Deploy autonomous payment operations using CrewAI and the Mollie MCP server.

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Connect Mollie MCP to CrewAI

Create your Vinkius account to connect Mollie 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 Mollie with CrewAI

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Autonomous payment monitoring with CrewAI

Assign a monitor agent to watch for new transactions using `list_payments`. It alerts your team if it spots anything unusual. This agent works alongside your other crew members. It shares its findings so the rest of the team stays informed.

Coordinated customer support via CrewAI

Use `get_payment_details` to feed a support agent the facts during a ticket. The agent provides accurate answers based on the real transaction state. It removes the need for agents to manually search your dashboard. They have the info they need right in the chat.

Hierarchical payment management in CrewAI

Set up a manager agent to delegate tasks to subordinates. One agent fetches data using `list_customers`, while another processes the findings. This structure handles complex operations efficiently. The manager keeps everything organized while the workers execute the specific calls.

Setup guide

Set up Mollie 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 Mollie tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Use the tool_filter option in your agent setup. This ensures your research agent doesn't have access to payment creation tools.

Yes. CrewAI stores the results of each tool call in shared memory. Every agent in the crew can access previous payment data.

The MCP server logs every call it receives. You can check these logs to see exactly which agent initiated a specific transaction.

It does. This is the default transport, making it simple to run in any local environment where your agents live.

The server runs as an ephemeral process. It only accesses the customer metadata required for the current task and clears it after the agent finishes.

Use it with your favorite AI tools

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