How to Use the Bsale MCP in Pydantic AI

Q: How does the pagination work for listing products?

You pass limit and offset arguments to listproducts. The response maps cleanly to typed Python objects for safe processing.

Pair Pydantic AI with Bsale for strictly validated SII tax invoicing and type-safe inventory tracking.

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Connect Bsale MCP to Pydantic AI

Create your Vinkius account to connect Bsale 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.

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Setup Bsale with Pydantic AI

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Strict runtime validation for Chilean tax data

The `create_client` tool registers new buyers with their RUT and business activity details. It ensures that every required field is present before attempting to save the record. When you use Pydantic AI with an MCP Server, the agent validates the API response against strict schemas. If Bsale returns malformed client data, the execution halts immediately to prevent downstream errors.

Issue error-free invoices using this MCP Server

The `create_document` tool handles the generation of electronic invoices, boletas, and credit notes. It requires a valid document type ID and at least one line item. The type-safe environment ensures your agent never sends a document with missing line items or invalid tax codes. This keeps your SII compliance rate at 100%.

Safe inventory and price list audits

The `list_stocks` tool checks stock levels across your office branches. It works alongside `list_variants` to pull cost and barcode information for specific product SKUs. Your agent can audit these levels against different price lists retrieved via `list_price_lists`. Because the types are strict, you don't have to worry about string-to-float conversion bugs.

Setup guide

Set up Bsale 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "bsale-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Bsale tools.",
)

result = await agent.run("List recent Bsale transactions")
print(result.output)

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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 Bsale. 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 Bsale MCP in Pydantic AI

Use MCPToolset with the server's HTTP endpoint. Pass this toolset directly to your agent's constructor to expose the tools.

The framework raises a validation error immediately. This prevents your agent from operating on incomplete or corrupted tax document data.

Yes. Pydantic AI is model-agnostic. You can run the Bsale tools using OpenAI, Anthropic, or local models like Llama.

You pass limit and offset arguments to list_products. The response maps cleanly to typed Python objects for safe processing.

The MCP Server runs inside an ephemeral sandbox. Your API keys, customer RUT numbers, and invoice totals are processed in memory and never written to persistent storage.

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