How to Use the Lago MCP in CrewAI

Q: Can a CrewAI team manage Lago billing operations?

Yes, specialized agents can handle everything from createsubscription to listinvoices. They work together to ensure your billing is always correct.

Deploy autonomous billing crews using CrewAI to monitor, report, and reconcile accounts without human intervention.

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Connect Lago MCP to CrewAI

Create your Vinkius account to connect Lago 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 Lago with CrewAI

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Autonomous invoice monitoring in CrewAI

Assign a monitor agent to watch for new invoices using `list_invoices`. When an invoice appears, a second agent can reconcile it against your internal usage logs. This setup creates a self-managing billing cycle. Your agents handle the routine checks so your team doesn't have to.

Multi-agent billing orchestration with this MCP Server

Let your research agent identify usage spikes while your operations agent uses `send_event` to track the activity. It's a collaborative approach to metering. By splitting these tasks, your agents perform more effectively. The billing logic stays organized and clearly defined across your crew.

Customer management within CrewAI

Have your support agents run `get_customer` to pull account details before escalating a billing issue. This provides instant context to your crew. Your agents save time by pulling the data they need directly. It turns a manual research task into an automated, single-step operation.

Setup guide

Set up Lago 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 Lago tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes, specialized agents can handle everything from `create_subscription` to `list_invoices`. They work together to ensure your billing is always correct.

They use shared memory to pass the results of tool calls. If one agent retrieves a customer ID, the rest of the crew can use it.

Yes, your agents can monitor usage and trigger plan upgrades via `create_subscription` when limits are reached.

Pass the server URL directly to the agent's MCP list. Once connected, your agents can call any of the available tools.

We enforce strict auth at the endpoint. Your customer billing details are encrypted and strictly managed within the Vinkius infrastructure.

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