How do I find my Afosto API credentials?

Log in to the Afosto Admin App, navigate to **Company** > **API Settings**. You can create a new integration there to generate your Client ID and Client Secret.

Can I check stock levels across multiple warehouses?

Yes! Use the `list_inventory` tool. It provides real-time stock data aggregated by location, helping you manage omnichannel fulfillment.

Does this support multi-channel orders?

Absolutely. The `list_orders` tool retrieves orders from all connected sales channels, including B2B, B2C, and integrated marketplaces.

Afosto MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Name: Afosto
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Afosto through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Afosto "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Afosto?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Afosto MCP Server

Connect your Afosto Retail Engine account to your AI agent to unlock enterprise-grade e-commerce orchestration. From managing multi-channel orders to monitoring real-time inventory across warehouses and auditing product catalogs, your agent handles your retail stack through natural conversation.

Pydantic AI validates every Afosto tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Order Orchestration — List and audit multi-channel orders, check fulfillment statuses, and retrieve technical metadata
Inventory Management (WMS) — Monitor real-time stock levels across multiple locations and identify replenishment needs
Product Catalog Oversight — List products, variants, and pricing to ensure your storefront is always synchronized
Customer Intelligence — Retrieve centralized customer profiles and interaction history to support sales and support
Retail Insights — Quickly identify sales trends or inventory bottlenecks directly from your chat interface

The Afosto MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Afosto to Pydantic AI via MCP

Follow these steps to integrate the Afosto MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from Afosto with type-safe schemas

Why Use Pydantic AI with the Afosto MCP Server

Pydantic AI provides unique advantages when paired with Afosto through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Afosto integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Afosto connection logic from agent behavior for testable, maintainable code

Afosto + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Afosto MCP Server delivers measurable value.

Type-safe data pipelines: query Afosto with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Afosto tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Afosto and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Afosto responses and write comprehensive agent tests

Afosto MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect Afosto to Pydantic AI via MCP:

list_customers

Retrieve centralized customer profile data and their historic eCommerce behavior

list_inventory

Retrieve real-time inventory and stock levels aggregated by warehouse distribution

list_orders

Retrieve recent multi-channel eCommerce orders aggregated by Afosto

list_products

Retrieve the complete product catalog, highlighting active variants and their pricing

Example Prompts for Afosto in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Afosto immediately.

"List all pending orders from the last 24 hours."

"What is the current stock level for 'Wireless Headphones' in all warehouses?"

"Search for a customer profile with email 'john.doe@example.com'."

Troubleshooting Afosto MCP Server with Pydantic AI

Common issues when connecting Afosto to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Afosto + Pydantic AI FAQ

Common questions about integrating Afosto MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Afosto MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.