How to Use the Facturama (SAT) MCP in LangChain
Run multi-step Mexican tax invoicing chains in LangChain with direct Facturama (SAT) tool integration.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Facturama (SAT) MCP to LangChain
Create your Vinkius account to connect Facturama (SAT) to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated SAT Invoicing Chains
The `create_invoice` tool acts as the execution step in your LangChain tax generation pipeline. Your agent chain first reads client details with `get_client` and maps correct product codes via `list_products`. Once the run completes, the chain feeds the generated CFDI data directly into `send_invoice_email` to notify the buyer. LangSmith traces every step of this multi-tool sequence so you see the exact payload passed to the SAT gateway.
Dynamic Catalog Mapping with LangChain MCP Server
By calling `list_catalog`, your LangChain agent gets the official Mexican tax keys required for legal CFDI 4.0 registration. Instead of hardcoding product classifications, your pipeline queries `get_product` to match internal SKUs with SAT codes. This dynamic mapping feeds into `list_taxes` to determine the correct tax rate before generating any document. Because the chain updates its context on the fly, your automated billing remains compliant even when fiscal rules shift.
Automated CFDI Cancellation Workflows
With `cancel_invoice`, your LangChain agent handles billing errors without manual accounting intervention. When a dispute arises, the chain triggers `get_invoice_file` to pull the original document and verify its status. After validation, the agent runs the cancellation and updates your internal CRM using `list_clients`. Every tool call in this corrective chain is logged, giving your finance team a clear audit trail of all SAT interactions.
Set up Facturama (SAT) MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes Facturama (SAT) tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"facturama-sat-mcp": {
"transport": "http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
result = await agent.ainvoke({
"messages": "List recent Facturama (SAT) transactions"
})
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 LangChain
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