How to Use the Facturama (SAT) MCP in Pydantic AI
Build type-safe Mexican tax workflows with Pydantic AI and the Facturama (SAT) MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Facturama (SAT) MCP to Pydantic AI
Create your Vinkius account to connect Facturama (SAT) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Type-safe client registration with Pydantic AI
The `create_client` tool registers new buyers while Pydantic AI validates their RFC tax details against strict runtime models. Your agent queries `get_client` or `list_clients` to confirm the profile matches Mexican tax laws exactly. If the API returns unexpected or malformed data, your Python code fails loudly with a validation error. This prevents corrupted client profiles from entering your system, saving your team from manual cleanup work down the road.
Issue error-free CFDI invoices with strict schemas
The `create_invoice` tool executes the generation of official Mexican tax invoices using data validated by your Pydantic models. Your agent uses `list_taxes` and `list_catalog` to verify tax rates and product codes before calling the API. By enforcing strict schemas, you ensure that every payload sent to Facturama is structurally perfect. If a transaction needs to be reversed, the agent calls `cancel_invoice` and uses `delete_client` to manage the lifecycle cleanly.
Fetch and verify tax files with Pydantic AI
The `get_invoice_file` tool extracts the Base64 representation of your tax invoices, which your agent parses and validates. Your agent can then trigger `send_invoice_email` to deliver the files or check compliance status using `get_tax_status`. You can also query `list_invoices` to audit your records or search for specific items using `get_product` and `list_products`. Every response is checked against your defined Pydantic types to ensure absolute data integrity.
Set up Facturama (SAT) MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"facturama-sat-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Facturama (SAT) tools.",
)
result = await agent.run("List recent Facturama (SAT) transactions")
print(result.output) 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 Pydantic AI
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