How to Use the Conekta MCP in CrewAI

Q: Does CrewAI support selective Conekta tool access?

You can use the toolfilter feature to restrict which agents have access to sensitive operations like creating orders.

Q: How do I connect Conekta to my CrewAI agents?

Pass the endpoint URL directly into your agent's mcps configuration. The server handles the connection so your crew can start working immediately.

Deploy a specialized crew of agents to manage your Conekta operations with automated monitoring and response.

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Connect Conekta MCP to CrewAI

Create your Vinkius account to connect Conekta 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 Conekta with CrewAI

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Collaborative Order Handling in CrewAI

Assign a researcher agent to `list_orders` while a secondary agent handles `create_order` requests. Your crew shares memory, so the second agent knows exactly what the first one found. This structure handles complex tasks like batch processing or multi-step billing. You set the roles, and the MCP Server provides the tools to get the job done.

Autonomous Customer Support Agents

Build an agent that uses `get_customer` to answer billing questions. If the agent detects an issue, it can escalate the ticket to another member of the crew for resolution. This removes the need for human intervention in basic account lookups. Your team focuses on high-level strategy while the agents handle the record retrieval.

Hierarchical Payment Monitoring

Use a moderator agent to watch `list_events` and report anomalies. If something looks off, the moderator triggers a different agent to investigate the order details. This creates a closed-loop system for your operations. You maintain control through your agent definitions, while the server provides the raw data needed for analysis.

Setup guide

Set up Conekta 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 Conekta tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes. CrewAI uses shared memory to pass results between agents. If one agent fetches a customer record, the others can access that data for their tasks.

You can use the tool_filter feature to restrict which agents have access to sensitive operations like creating orders.

Pass the endpoint URL directly into your agent's `mcps` configuration. The server handles the connection so your crew can start working immediately.

They can. Your monitor agent can poll the event list periodically to keep the crew updated on recent payment activity.

The system isolates the data within the specific agent session. Your customer names and emails are never logged outside of the active agent memory.

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