How to Use the ChargeOver MCP in AutoGen

Q: How do I load the ChargeOver MCP Server tools into AutoGen?

Install autogen-extmcp. Call mcpservertools with your endpoint URL, and pass the resulting list into your AssistantAgent constructor. The adapter handles all schema conversions.

Give your AutoGen agents access to ChargeOver data so they can debate billing discrepancies and audit subscriptions autonomously.

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Connect ChargeOver MCP to AutoGen

Create your Vinkius account to connect ChargeOver to AutoGen 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 AutoGen

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Perplexity

Debate ChargeOver MCP Server data

Connect your billing system to a multi-agent deliberation process. A financial analyst agent pulls records using `list_billing_transactions`, while a separate compliance agent reviews those same entries for anomalies. They argue over the findings before presenting a final report. If the analyst spots a revenue drop, the compliance agent might trigger `get_chargeover_account` to verify the core settings haven't changed.

Resolve disputes through agent consensus

Customer payment issues rarely have simple answers. Your customer success agent can fetch a specific bill via `get_invoice_details` and negotiate a resolution strategy with a risk-management agent. The system forces competing perspectives to converge on a single action plan. The agents look at the exact same API response but apply different system prompts to evaluate the financial risk.

Analyze packages with specialized agents

Break down complex revenue queries by assigning specific MCP tools to specific roles. You can restrict your sales agent to `list_billing_quotes`, ensuring it only discusses active proposals. Meanwhile, a technical agent handles the heavy lifting by running `list_billing_subscriptions` to map out active packages. They share their findings in the shared chat to build a complete picture of the account.

Setup guide

Set up ChargeOver MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes ChargeOver tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="ChargeOver_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ChargeOver data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="ChargeOver_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ChargeOver data")
    print(result.messages[-1].content)

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 AutoGen

Install `autogen-ext[mcp]`. Call `mcp_server_tools` with your endpoint URL, and pass the resulting list into your `AssistantAgent` constructor. The adapter handles all schema conversions.

The framework supports both stdio and Streamable HTTP transports. For Vinkius-hosted endpoints, you will pass the URL into `StreamableHttpServerParams`.

Yes. You assign specific tools to individual agents during initialization. The billing agent gets access to the financial records, while the summary agent only sees the resulting conversation.

One agent fetches the JSON payload from the API. The framework broadcasts that raw text into the shared chat, allowing the other agents to read the numbers and challenge the initial interpretation.

Vinkius relies on stateless execution for every API call. Your raw payment amounts, customer names, and quote totals pass through an isolated container that instantly destroys itself after returning the data.

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