How to Use the YoneTeam MCP in Pydantic AI

Q: Can I use Pydantic AI to check account info from YoneTeam?

Yes. The getme tool pulls your current account data, and because of the type-safe validation, you're guaranteed to get fields that match what you expect.

Q: Does YoneTeam's MCP Server support fetching delivery schedules with Pydantic AI?

Yep. The listdeliveries tool is available and its output adheres strictly to a defined data model, giving you reliable tracking information.

Guaranteed Correctness: Type-Safe YoneTeam Operations with Pydantic AI.

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Connect YoneTeam MCP to Pydantic AI

Create your Vinkius account to connect YoneTeam 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 YoneTeam with Pydantic AI

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Claude

Perplexity

Create and Track Demands

The `create_demand` tool lets your agent formally submit a new purchasing demand. It pairs naturally with `list_demands`, which gives you the history of all requests. If the API returns unexpected fields, Pydantic fails LOUDLY. You never risk silent corruption in your records.

Query Supplier and Offer Details

You can use `list_suppliers` to get a list of approved vendors, then call `get_offer_details` for deep specs on one offer. The whole process is validated. This ensures that every piece of data your agent uses—from pricing to vendor IDs—is structurally correct.

Verify Order and Material Data

When you need a purchase order status, `get_order_details` handles it. If the output doesn't match the Pydantic schema, your agent stops immediately. This level of type safety means your code relies on correct data, period.

Setup guide

Set up YoneTeam 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": {
        "yoneteam-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about YoneTeam MCP in Pydantic AI

YoneTeam exposes its tools via an MCP Server. Your agent calls these tools, and the resulting JSON output is validated against a defined Pydantic model at runtime.

The server manages standard ERP data like purchasing demands, material catalogs (`list_materials_catalog`), and supplier details. Everything is typed for accuracy.

Yes. The `get_me` tool pulls your current account data, and because of the type-safe validation, you're guaranteed to get fields that match what you expect.

For correctness, yes. Unlike systems where unexpected data might pass silently, Pydantic forces validation. If the API messes up, your agent fails safely.

Yep. The `list_deliveries` tool is available and its output adheres strictly to a defined data model, giving you reliable tracking information.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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