How to Use the Billsby MCP in CrewAI

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Connect Billsby MCP to CrewAI

Create your Vinkius account to connect Billsby 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 Billsby with CrewAI

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Perplexity

Specialized CrewAI billing teams

Assign a researcher agent to `list_products` while your manager agent decides on plan changes. They share memory to ensure the crew stays in sync. This setup allows for hierarchical execution where agents handle tasks in order. You get a coordinated response for every billing inquiry.

Autonomous invoice auditing with CrewAI

Set a moderator agent to watch for new entries using `list_invoices`. It alerts the team if it spots anything unusual in the transaction logs. Your crew works in the background to keep your books clean. You define the mission, and the agents execute the search and verify cycles.

Selective tool exposure for agents

Filter the available tools so specific agents only see `get_customer`. This keeps your crew focused on their assigned roles without cluttering their context. You avoid potential errors by limiting what each agent can touch. It keeps the autonomous operation tight and predictable.

Setup guide

Set up Billsby 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 Billsby tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL to the mcps parameter in your agent configuration. The crew will gain access to the tools defined in the manifest.

The server exposes creation and update tools. You control the permissions by choosing which tools you provide to each specific agent.

Yes. CrewAI agents store the results of their tool calls in shared memory. This lets the whole team reference past subscription data during a session.

The framework reports errors directly to the crew. You can add a dedicated monitor agent to handle exceptions or escalate issues to you.

Your instance runs in a zero-trust sandbox. We isolate your data from other users, and no other agent outside your crew can access your subscription records.

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