How to Use the ChargeOver MCP in CrewAI

Q: How do I connect the ChargeOver MCP Server to CrewAI?

Install the crewaitools package via pip. Pass your Vinkius URL directly into the mcps parameter when defining your agent. The framework automatically registers the billing endpoints.

Q: Can I restrict which CrewAI agent accesses ChargeOver data?

Yes, you use the toolfilter parameter inside MCPServerHTTP. This allows you to give the researcher agent access to invoices while blocking the writer agent. Role-based access keeps your crew focused.

Deploy autonomous finance crews with CrewAI and the ChargeOver MCP Server.

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Connect ChargeOver MCP to CrewAI

Create your Vinkius account to connect ChargeOver 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 ChargeOver with CrewAI

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Perplexity

Analyze Invoices with Specialized Agents

The `list_chargeover_invoices` tool feeds raw billing histories into your CrewAI shared memory. You assign this tool to a dedicated financial researcher agent that only looks at payment records. A separate analyst agent then reviews that collected data to identify late payment trends. Drilling down into specific charges requires the `get_invoice_details` endpoint. The researcher passes the invoice ID to the analyst, demonstrating how sequential execution handles complex billing audits without human input.

Monitor ChargeOver Subscriptions Autonomously

Fetching active customer packages relies on the `list_billing_subscriptions` tool. A monitor agent runs this operation on a schedule to track upgrades and cancellations. When it detects a change, it alerts a moderator agent to update your CRM. The `get_customer_details` tool provides the exact contact information needed for the update. Your crew manages the entire escalation path autonomously through hierarchical task delegation.

CrewAI MCP Server Configuration

Reading payment events happens via the `list_billing_transactions` tool. You connect this MCP Server by adding the Vinkius URL to the `mcps` array in your Agent definition. CrewAI handles the Streamable HTTP transport natively. Pulling sales proposals requires the `list_billing_quotes` endpoint. For advanced setups, you use `MCPServerHTTP` combined with a `tool_filter` to restrict which agent can see specific financial data.

Setup guide

Set up ChargeOver 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 ChargeOver tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Install the `crewai[tools]` package via pip. Pass your Vinkius URL directly into the `mcps` parameter when defining your agent. The framework automatically registers the billing endpoints.

Yes, you use the `tool_filter` parameter inside `MCPServerHTTP`. This allows you to give the researcher agent access to invoices while blocking the writer agent. Role-based access keeps your crew focused.

Agents communicate through shared memory during execution. The researcher pulls `get_invoice_details` and writes the findings to the context window. The next agent in the sequence reads that exact data to complete its task.

The framework supports stdio, SSE, and Streamable HTTP. Vinkius endpoints use HTTP for serverless reliability. You just provide the URL and the system handles the connection protocol.

Raw payment amounts and billing dates execute inside a strictly ephemeral V8 Isolate Sandbox. The environment tears down immediately after your crew finishes its task sequence. Authentication requires only a managed endpoint token, keeping your core API credentials hidden.

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