How to Use the Moloni (Cloud Invoicing & Fiscal Management) MCP in AutoGen
Build multi-agent networks to debate, audit, and approve invoices with AutoGen.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Moloni (Cloud Invoicing & Fiscal Management) MCP to AutoGen
Create your Vinkius account to connect Moloni (Cloud Invoicing & Fiscal Management) 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.
AutoGen agents debate and verify tax compliance
Let your agents double-check tax documents before they go to the government. A billing agent can draft an invoice using `list_invoices` while a compliance agent reviews the tax rates with `list_taxes` to spot errors. This multi-agent setup ensures that no incorrect VAT rates slip through. The agents debate the details in a chat loop, converging on a correct document before finalizing the transaction.
Automate stock reconciliation with specialized agents
Run a group of agents to manage your warehouse. A stock-tracker agent checks inventory via `list_product_stocks` while a purchasing agent uses `list_estimates` to draft purchase orders when items run low. By separating these tasks, you avoid race conditions and API rate limits. The agents communicate with each other to verify that stock levels match the product listings fetched by `list_products`.
Manage customer billing profiles autonomously
Keep your customer database up to date without manual intervention. Your agents use `get_customer_by_vat` to verify tax IDs and update records using `update_customer` when changes are detected. If a client profile is missing, the setup triggers `create_customer` to add them. The agents coordinate to ensure that every invoice is attached to a valid, verified tax profile.
Set up Moloni (Cloud Invoicing & Fiscal Management) 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 Moloni (Cloud Invoicing & Fiscal Management) 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="Moloni (Cloud Invoicing & Fiscal Management)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Moloni (Cloud Invoicing & Fiscal Management) 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="Moloni (Cloud Invoicing & Fiscal Management)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Moloni (Cloud Invoicing & Fiscal Management) 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 Moloni. 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 Moloni (Cloud Invoicing & Fiscal Management) MCP in AutoGen
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