How to Use the Recurly MCP in CrewAI

Deploy a specialized agent crew to manage Recurly billing and subscriptions with the CrewAI framework.

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Connect Recurly MCP to CrewAI

Create your Vinkius account to connect Recurly 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 Recurly with CrewAI

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CrewAI agents for Recurly monitoring

Assign a monitor agent to watch your `list_transactions` feed while another takes action. This setup keeps your financial health in check while you sleep. The agents share memory, so when one identifies a failed invoice, the other knows exactly which account to contact.

Sequential Recurly tasks in CrewAI

Run a pipeline where your first agent researches `list_subscription_plans` and the second updates user accounts. The process runs until the task is finished. You build autonomous operations where one agent verifies data before the next makes a change. It removes the human bottleneck from your billing department.

Advanced Recurly management for CrewAI

Filter the tools you expose to ensure your agents only have the permissions they need. You can limit a researcher agent to read-only access while the lead agent handles updates. This role-based access keeps your operations secure. You control the scope of every action the crew takes on your billing platform.

Setup guide

Set up Recurly 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 Recurly tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can assign specialized agents to list and update subscriptions. They collaborate to ensure your billing records are accurate and up to date.

Pass the server URL directly into your agent's configuration. Use the tool_filter option to decide exactly which operations your agents can perform.

The framework parses the tool results and allows agents to reason over them. This means your crew can analyze billing data before deciding on the next step.

It supports SSE and Streamable HTTP, making it easy to integrate. Pick the transport that fits your deployment environment for the best performance.

We enforce strict isolation between agent sessions. Your billing metadata is ephemeral and strictly scoped, meaning no persistent storage or logs exist once the crew finishes the task.

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