How to Use the Mercado Pago MCP in CrewAI

Q: Can CrewAI agents choose between Mercado Pago methods?

Yes. You can instruct your agents to call listpaymentmethods first. They will then decide whether to use card or Pix based on the available options.

Q: Does this Mercado Pago server work with CrewAI memory?

Yes. Tools like getcustomer store context in the crew's shared memory. This allows agents to recall user profiles across different steps of a workflow.

Deploy autonomous payment crews with CrewAI to monitor transactions, manage refunds, and handle customer billing at scale.

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Connect Mercado Pago MCP to CrewAI

Create your Vinkius account to connect Mercado Pago 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 Mercado Pago with CrewAI

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Operate autonomous crews with CrewAI

Assign a monitor agent to use `get_payment` for tracking incoming funds. If the monitor detects a failed transaction, it triggers a moderator agent to take corrective action. This setup removes human intervention from routine payment management. Your agents work in sequence to ensure payments get processed and verified.

Handle complex refunds in CrewAI

When a customer requests money back, the agent uses `search_payments` to locate the transaction ID. It then executes `refund_payment` to finalize the process. This creates a hands-off system for support. The crew handles the search and the action based on the parameters you provide.

Automate checkouts with CrewAI agents

Your agents use `create_preference` to generate dynamic checkout links for your users. The crew manages these preferences throughout the sales cycle. It allows for specialized agents to handle different parts of the checkout process. One agent creates the link while another tracks its usage status.

Setup guide

Set up Mercado Pago 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 Mercado Pago tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL to your agent configuration. The agents will automatically discover the tools and integrate them into their decision-making process.

Yes. You can instruct your agents to call `list_payment_methods` first. They will then decide whether to use card or Pix based on the available options.

Yes. Tools like `get_customer` store context in the crew's shared memory. This allows agents to recall user profiles across different steps of a workflow.

Use the tool filter in your MCP connection settings. This allows you to restrict certain agents to read-only tools like `get_payment`.

It transmits data via encrypted channels. No transaction logs or payment identifiers are stored permanently by the server; it only processes ephemeral requests.

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