How to Use the Chargebee MCP in CrewAI

Deploy autonomous agent crews to manage your entire Chargebee billing operation with CrewAI.

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Connect Chargebee MCP to CrewAI

Create your Vinkius account to connect Chargebee 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 Chargebee with CrewAI

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Assign a Dedicated Customer Service Crew

One agent's role is to find new users with `list_customers`. It passes the new customer ID to a 'Subscription Agent' who confirms their plan details using `get_subscription_details`. This division of labor is CrewAI's strength. Each agent has a clear job, and the shared context lets them collaborate. It keeps your autonomous operations clean and simple to debug.

Deploy a Churn Analysis Team

Create a 'Cancellation Agent' with one job: executing `cancel_subscription` requests. It's programmed to extract the churn flags from the tool's output and save them to the crew's shared memory. A separate 'Analyst Agent' then reads those flags, identifies trends, and drafts a daily report for the product team. This separates the action of cancellation from the analysis of why it happened.

Run an Autonomous Billing Operations Crew

An 'Invoice Watcher' agent uses `list_invoices` to find failed payments. It tasks a 'Collections Agent' to `pause_subscription`. A third 'Notifier Agent' then uses `get_customer_details` to find the account owner's email and alert them. This MCP server provides all the necessary tools for the crew to function independently. CrewAI manages the task handoffs, and the agents execute their roles without human input.

Setup guide

Set up Chargebee 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 Chargebee tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

By using role-based tool assignment. You can configure your CrewAI agents so that only specific agents can access dangerous tools like `cancel_subscription`. This lets a 'read-only' agent safely use `list_invoices` without any risk of it taking the wrong action, because it doesn't have access to this MCP server's write tools.

Yes, that's a perfect use case for CrewAI. You can define one agent with access to 'list' and 'get' tools, and a separate, more restricted agent with access to 'create' and 'cancel' tools. They can collaborate through shared memory to get tasks done safely.

You can build crews for churn analysis, dunning and collections, financial reconciliation, or customer onboarding. For example, a crew could monitor for `cancel_subscription` events, analyze the churn flags, and then task another agent to email the user with a 'win-back' offer.

Security and management. The MCP server is a managed, sandboxed environment for tool execution. You don't have to worry about managing API keys or the risks of running arbitrary code. You just point your CrewAI agent at the Vinkius URL.

The agent accesses Chargebee customer, subscription, and invoice data via the MCP server, which runs in a zero-trust environment. Each tool call is a sandboxed, single-purpose function. The data's lifecycle is tied to the agent's task; nothing is stored or logged by Vinkius.

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