How to Use the Facturama (SAT) MCP in LlamaIndex

Q: Can LlamaIndex index the XML files retrieved from the Facturama (SAT) server?

Yes, you can use getinvoicefile to fetch the Base64 representation of the XML and pass it to a LlamaIndex document parser. Once parsed, the tax data is split into nodes and indexed in your vector database. This allows you to perform natural language queries over your entire Mexican tax history.

Q: How does the Facturama (SAT) MCP Server prevent hallucinations in LlamaIndex?

The server provides real-time data through tools like gettaxstatus and listtaxes which ground the agent's context. Instead of guessing tax rates, the LlamaIndex agent must query these live endpoints before performing any action. It's a foolproof way to ensure your tax calculations are always legally accurate.

Index your Mexican CFDI tax data directly into LlamaIndex using the Facturama (SAT) MCP integration.

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Connect Facturama (SAT) MCP to LlamaIndex

Create your Vinkius account to connect Facturama (SAT) to LlamaIndex 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 Facturama (SAT) with LlamaIndex

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Grounding LlamaIndex Agents in Real SAT Data

Using `list_invoices`, you can feed raw Mexican tax records directly into your LlamaIndex vector store for semantic indexing. Your agent queries this local index to answer questions about past transactions without making redundant API calls. By combining `get_invoice_file` with index lookups, the system retrieves actual PDF or XML data to resolve customer billing questions. This eliminates hallucinated invoice numbers by grounding every response in real SAT records.

Semantic Search Across Your Facturama (SAT) Catalogs

The `list_products` tool allows LlamaIndex to index your entire tax-mapped inventory for instant retrieval. When a user asks for a product tax rate, the agent searches the vector store instead of scanning raw database tables. The agent uses `get_product` to verify specific fiscal details against the indexed catalog before generating an invoice. This keeps your search index perfectly aligned with official Mexican tax classifications.

LlamaIndex MCP Server Memory for B2B Clients

Running `list_clients` exports your active Mexican tax profiles directly into the LlamaIndex conversational memory. When drafting a new invoice, your agent pulls the correct RFC details from past interactions without prompting the user again. If a profile is missing, the agent executes `create_client` to register the new B2B buyer dynamically. This integration turns flat tax records into a dynamic, queryable knowledge graph for your billing team.

Setup guide

Set up Facturama (SAT) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Facturama (SAT) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Facturama (SAT) tools.",
)
response = await agent.run("List recent Facturama (SAT) data")

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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 LlamaIndex

Yes, you can use `get_invoice_file` to fetch the Base64 representation of the XML and pass it to a LlamaIndex document parser. Once parsed, the tax data is split into nodes and indexed in your vector database. This allows you to perform natural language queries over your entire Mexican tax history.

The server provides real-time data through tools like `get_tax_status` and `list_taxes` which ground the agent's context. Instead of guessing tax rates, the LlamaIndex agent must query these live endpoints before performing any action. It's a foolproof way to ensure your tax calculations are always legally accurate.

You configure the LlamaIndex tool spec to restrict or filter calls to `list_clients` based on the user's query. The agent then retrieves only the relevant RFC profiles, passing them to `get_client` for deep verification. This keeps your context window clean and focused on the targeted transaction.

Yes, you can call the asynchronous tool list method to load all 14 MCP tools into your LlamaIndex agent. This prevents performance bottlenecks when your system needs to run `create_invoice` while simultaneously updating local indexes. It keeps your high-volume billing pipelines running fast.

Your RFC numbers, client names, and billing records processed via `create_client` remain strictly within your local LlamaIndex pipeline and the secure Vinkius runtime. No tax data is cached on Vinkius servers, and the communication with Facturama is fully encrypted. Your sensitive Mexican corporate tax details are never used for model training.

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