How to Use the Afosto MCP in Pydantic AI
Get type-safe, validated data from your Afosto MCP server with Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Afosto MCP to Pydantic AI
Create your Vinkius account to connect Afosto 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.
Guarantee Correct Product Data
The `list_products` tool fetches your entire product catalog from Afosto, including all variants and pricing. When you use Pydantic AI, every field in that response is validated against a Pydantic model at runtime. If the API ever returns a price as a string instead of a float, your code will raise a `ValidationError` immediately. No silent data corruption, just guaranteed correctness.
Safely Process Customer Orders
Your agent can pull order and customer information using the `list_orders` and `list_customers` tools. This gives it the context needed to handle support requests or re-order workflows. Pydantic AI's main job is to protect you from bad data. If an order from Afosto is missing a required `order_id` or has a malformed `timestamp`, your agent won't try to process it. It fails loudly, so you can fix the problem at the source.
Trust Your Afosto MCP Server Data
The `list_inventory` tool provides a snapshot of your current stock levels from the Afosto MCP server. Because Pydantic AI is model-agnostic, you can use any LLM you want—from OpenAI to a local model—to reason about that inventory data. The framework ensures that no matter what the LLM does, the data it gets from Afosto is always structured and typed correctly before your code ever touches it.
Set up Afosto 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": {
"afosto-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Afosto tools.",
)
result = await agent.run("List recent Afosto 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 Afosto. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
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lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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Common questions about Afosto MCP in Pydantic AI
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