How to Use the NachoNacho MCP in CrewAI

Q: How do I configure the NachoNacho MCP Server in CrewAI?

Pass your endpoint URL directly into the mcps array in your Agent definition. For granular control, use MCPServerHTTP and apply a toolfilter to restrict access.

Q: Can a CrewAI agent freeze a NachoNacho card autonomously?

Yes. If you give an agent access to the freezecard tool, it can suspend a payment method without human input based on the logic in your workflow.

Q: How do multiple CrewAI agents share data from the NachoNacho MCP Server?

They use shared memory. A researcher agent pulls data via listtransactions, and the framework passes that context to a moderator agent to take action.

Deploy autonomous finance teams in CrewAI to audit SaaS spending and manage virtual cards without human intervention.

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Connect NachoNacho MCP to CrewAI

Create your Vinkius account to connect NachoNacho 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 NachoNacho with CrewAI

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CrewAI Agents Audit Spend Automatically

A monitoring agent uses `list_subscriptions` and `list_transactions` to audit company-wide SaaS costs automatically. It compiles a report of duplicate tools and unused seats, then hands that data to an analyst agent. The analyst evaluates the spend against company policy. If it spots a violation, it triggers a manager agent. This hierarchical execution means your finance crew operates exactly like a human department, just a thousand times faster.

Terminate Rogue Vendors

Your enforcement agent uses `get_card` to identify the funding source for unauthorized software bought off the books. It then executes `freeze_card` to cut off the money supply instantly. This is not a suggestion engine. The agent takes direct action. If a vendor charges more than the approved limit, the system catches it and suspends the payment method before the next billing cycle hits.

Provision Budgets Dynamically

An onboarding agent uses `create_card` to generate a dedicated virtual card for a new employee's specific software stack. The agent sets exact limits and assigns the card to the right department. As requirements change, a separate maintenance agent handles requests to increase limits. It evaluates the request, calls `update_card` if approved, and notifies the employee. The entire procurement lifecycle runs on autopilot.

Setup guide

Set up NachoNacho 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 NachoNacho tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your endpoint URL directly into the `mcps` array in your Agent definition. For granular control, use `MCPServerHTTP` and apply a `tool_filter` to restrict access.

Yes. If you give an agent access to the `freeze_card` tool, it can suspend a payment method without human input based on the logic in your workflow.

They use shared memory. A researcher agent pulls data via `list_transactions`, and the framework passes that context to a moderator agent to take action.

You can connect using stdio, Server-Sent Events, or Streamable HTTP. The client handles the underlying connection so your agents can focus on execution.

Vinkius routes your MCP Server requests through an ephemeral sandbox that dies after execution. CrewAI fetches your virtual card balances and transaction histories, but the infrastructure retains absolutely zero memory of your financial records.

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