How to Use the Facturama (SAT) MCP in AutoGen
Run multi-agent consensus for Mexican CFDI invoicing using AutoGen and Facturama (SAT).
Works with every AI agent you already use
…and any MCP-compatible client
Connect Facturama (SAT) MCP to AutoGen
Create your Vinkius account to connect Facturama (SAT) 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.
Multi-Agent Consensus for Facturama (SAT) Invoicing
The `create_invoice` tool executes only after your AutoGen billing agent and compliance agent agree on the tax payload. One agent generates the draft invoice while another runs `get_tax_status` to verify the company's current SAT standing. If any discrepancy is found, the compliance agent blocks the execution and demands a correction. This multi-agent debate prevents incorrect tax filings from ever reaching the official Mexican government servers.
Automated Client Validation via AutoGen MCP Server
By integrating `get_client`, your AutoGen customer-onboarding agent verifies B2B tax profiles in real time. Before a sale is finalized, the agent checks the RFC details against official SAT rules using `list_clients`. If the client profile contains errors, a secondary support agent is triggered to run `create_client` with corrected details. This collaborative loop ensures that your customer database is always clean and audit-ready.
Collaborative Dispute and Cancellation Resolution
The `cancel_invoice` tool is managed by a dedicated dispute agent within your AutoGen conversation framework. When a client requests a refund, the billing agent pulls the transaction record using `list_invoices`. The dispute agent then reviews the request, executes the cancellation, and triggers `send_invoice_email` to deliver the updated credit note. This entire process occurs autonomously through structured agent debate, minimizing manual overhead.
Set up Facturama (SAT) 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 Facturama (SAT) 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="Facturama (SAT)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Facturama (SAT) 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="Facturama (SAT)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Facturama (SAT) 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 Facturama (SAT Mexico). 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 Facturama (SAT) MCP in AutoGen
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