How to Use the Metronome MCP in CrewAI

Q: How do I integrate the Metronome MCP server with CrewAI?

Pass the server URL directly into your agent’s mcps list. CrewAI will ingest the tool definitions and make them available to your crew.

Deploy autonomous billing crews with the Metronome MCP server and CrewAI to handle usage tracking and invoice generation as a team.

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Connect Metronome MCP to CrewAI

Create your Vinkius account to connect Metronome 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 Metronome with CrewAI

Ask AI about this MCP

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Claude

Perplexity

Specialized billing agents

Assign one agent to `get_usage` and another to `create_billable_metric`. By splitting the work, your crew processes large datasets efficiently. Each agent shares memory, so the analyst knows exactly what the researcher found. They work in sequence to ensure your billing data is always up to date.

Autonomous invoice processing

Let your moderation agent watch for pending invoices using `list_invoices`. If an error occurs, it triggers `regenerate_invoice` without human input. This keeps your revenue cycle moving 24/7. Your agents handle the heavy lifting while you just monitor the audit logs.

Dynamic rate adjustments

Your strategy agent can call `add_rate` when market conditions change. It updates your pricing models across all active contracts instantly. This removes the need for manual spreadsheets. Your crew acts on your business rules, applying them across thousands of customer accounts.

Setup guide

Set up Metronome 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 Metronome tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL directly into your agent’s `mcps` list. CrewAI will ingest the tool definitions and make them available to your crew.

Yes, CrewAI agents share memory across the session. One agent can pull data with `get_usage_groups` and the next can process it.

You define specific tools for each agent using a filter. This ensures your researcher only sees read-only tools, while your moderator manages contracts.

It's built for it. Your crew can run continuously, monitoring usage and managing billing thresholds without you needing to step in.

Every action is scoped to your Vinkius token. Your billing data, including usage logs and customer identifiers, is never persisted outside the secure sandbox.

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