How to Use the Billit MCP in AutoGen

Let your AutoGen agents debate invoice disputes and billing tasks using the Billit MCP Server tools.

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Connect Billit MCP to AutoGen

Create your Vinkius account to connect Billit 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 Billit with AutoGen

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Perplexity

Debate invoice details in AutoGen

Assign `get_invoice` to an analytical agent that checks for discrepancies. Other agents can challenge these findings until they reach a consensus. This multi-agent process catches errors a single model might miss. Your agents deliberate on the invoice content before confirming a final action.

Negotiate party records in AutoGen

Use `create_party` within a conversation where one agent validates customer details while another handles the record creation. They check each other's work for accuracy. Your agents define the workflow. This consensus-based approach ensures your CRM stays clean.

Monitor expenses in AutoGen

Task an agent with `list_expenses` and have another evaluate the spending against budget limits. They discuss the findings and present you with a summary. This is how you build systems that think before they act. The agents compare the raw expense data to your defined business rules.

Setup guide

Set up Billit 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 Billit 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="Billit_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="Billit_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

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Common questions about Billit MCP in AutoGen

Yes, you provide the tool list to your agents, and they decide who calls what. The conversation framework manages the hand-offs during the deliberation process.

Pass the tool adapter to your AssistantAgent constructor. This allows your team of agents to invoke billing functions during their discussions.

The server uses standard transport protocols that work perfectly with AutoGen's architecture. Your agents can debate financial data across multiple turns.

Every agent sees the same tool output during the conversation. This shared context helps them converge on the correct decision regarding your invoices.

All communication happens over a secure, encrypted link. Your customer and invoice details are never cached or stored by the hosting infrastructure.

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