How to Use the Invoiced MCP in AutoGen
Deploy AutoGen multi-agent teams to debate, verify, and execute Invoiced billing workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Invoiced MCP to AutoGen
Create your Vinkius account to connect Invoiced 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.
Verify transactions using AutoGen agent debate
The `create_invoice` tool allows your AutoGen agents to issue bills after debating the line items. One agent drafts the invoice with names, quantities, and unit costs, while a second agent reviews it for errors before committing to the Invoiced API. This collaborative check reduces billing mistakes. Your AutoGen agents resolve discrepancies in private conversation before executing the live transaction.
Resolve billing disputes via this MCP Server
Use `list_credit_notes` to let your AutoGen agents analyze past adjustments during billing disputes. A customer service agent flags a dispute, and a finance agent pulls the Invoiced credit history to verify the claim. This setup automates complex customer service workflows. Your AutoGen agents work together to resolve financial disputes without requiring constant human oversight.
Onboard clients using AutoGen agent conversations
The `create_customer` tool lets your onboarding agent establish new Invoiced accounts after a compliance agent approves the profile. The compliance agent checks the customer details for errors, flags any issues, and passes the approved data to the billing agent. This pipeline ensures every new Invoiced account is vetted. You avoid duplicate entries and incorrect billing information by letting AutoGen agents cross-check each other.
Set up Invoiced 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Invoiced tools and returns structured results.
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="Invoiced_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Invoiced data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Invoiced_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Invoiced data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Invoiced. 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 Invoiced MCP in AutoGen
Use it with your favorite AI tools
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