How to Use the Getpaid MCP in CrewAI

Q: How do I give different Getpaid tools to different agents in CrewAI?

When you initialize the MCPServerHTTP tool in CrewAI, use the toolfilter argument. This lets you provide a list of tool names, like 'refundbillingpayment', so that a specific agent can only access that single Getpaid function.

Deploy an autonomous finance team. Use CrewAI agents to monitor payments, manage customers, and handle billing with Getpaid.

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Connect Getpaid MCP to CrewAI

Create your Vinkius account to connect Getpaid 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 Getpaid with CrewAI

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Autonomous Accounts Receivable Crew

Assign a 'Billing Monitor' agent the task of regularly scanning for new invoices using `list_billing_invoices`. When a new invoice is found, it passes the details to a 'Collections' agent. This is a classic sequential crew pattern. The Collections agent checks the invoice status. If it becomes overdue, it uses `get_customer_details` to find the primary contact and delegates the task of sending a reminder to a 'Notifier' agent. The crew works together to make sure you get paid.

Proactive Customer Support Team

Set up a 'Subscription Watcher' agent that constantly uses `list_billing_subscriptions` to look for upcoming renewals or cancellations. If a high-value subscription is about to be cancelled, it can trigger an alert for your human retention team. You can also have a 'Refund Analyst' agent. Its only job is to receive refund requests, use `get_payment_details` to gather context, and then present a summary to a human for a final go/no-go on calling `refund_billing_payment`. This divides the labor perfectly.

Run Finance Ops with a CrewAI MCP Server

This Getpaid MCP server gives your agents the tools they need to act like a real finance department. You can have one agent dedicated to creating payment links with `create_checkout_session` and another that just monitors their status with `get_checkout_status`. By giving each agent in your crew access to a specific subset of tools, you enforce separation of duties. The agent that creates checkouts can't also issue refunds. This is a powerful security pattern you can build right into your CrewAI setup.

Setup guide

Set up Getpaid 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 Getpaid tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Getpaid transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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="Getpaid Analyst",
        goal="Access and analyze Getpaid data via MCP.",
        backstory="Expert analyst with direct Getpaid access.",
        tools=mcp_tools,
    )

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

When you initialize the `MCPServerHTTP` tool in CrewAI, use the `tool_filter` argument. This lets you provide a list of tool names, like `['refund_billing_payment']`, so that a specific agent can only access that single Getpaid function.

Yes, that's a core strength of CrewAI. You can have a 'Monitoring Agent' use `list_billing_payments` and pass the results to a 'Processing Agent' that uses `get_payment_details` to analyze and act on specific transactions.

You pass the Vinkius endpoint URL, which includes your auth token, directly into the agent's `mcps` parameter. CrewAI handles the rest, passing the token in the headers for every tool call to Getpaid.

You can create a 'System Health' agent in your crew. Its job is to periodically call `verify_api_connection`. If it detects a failure, it can pause other agents or trigger an alert for a human operator to investigate.

Yes. The server is designed for zero-trust environments. It processes API calls for things like invoice lists and payment details in memory and never writes this sensitive financial data to disk. The connection is always encrypted with TLS.

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