How to Use the Handwrytten MCP in Pydantic AI

Q: How do I initialize Handwrytten with Pydantic AI?

Install pydantic-ai-slimmcp and use the MCPToolset class with your Vinkius HTTP endpoint. Pass the toolset to your agent instance.

Q: Can my Pydantic AI agent verify Handwrytten address books?

Yes, the agent queries listaddressbook to get recipient lists. The framework validates the address fields to ensure they are complete before mailing.

Q: How does Pydantic AI handle Handwrytten API errors?

If the API returns unexpected data during a listcards call, Pydantic AI raises a validation error, stopping the execution before a card is sent.

Q: How are my customer order histories protected?

Order histories retrieved via listorders are processed in memory within the Vinkius MCP Server sandbox. They are never saved to disk or shared with external parties.

Send physical handwritten cards with strict type-safe validation using Pydantic AI.

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Connect Handwrytten MCP to Pydantic AI

Create your Vinkius account to connect Handwrytten 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 Handwrytten with Pydantic AI

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Type-safe physical mail via Pydantic AI

Stop worrying about your agent sending malformed requests to a physical mail API. This MCP Server enforces strict schemas for the `send_card` tool, ensuring the agent provides valid recipient details and font IDs. Pydantic AI validates every response from `list_fonts` and `list_cards` at runtime. If the model tries to use a non-existent font or card, the framework catches the error before any physical paper is printed.

Runtime validation for order tracking

Tracking physical shipments requires reliable data structures. Your agent can query `list_orders` and `get_order` to check delivery statuses, with every field verified against strict Python types. If the API response format changes, Pydantic AI raises a validation error immediately. This prevents your agent from processing corrupt delivery data or making bad assumptions about order states.

Manage budget and templates with zero drift

Keep your automated campaigns running smoothly by monitoring your account. The agent calls `get_credit_balance` to check funds and pulls pre-approved messages using `list_templates`. Pydantic AI ensures that balance figures and template text conform to your application's expected models. You can also query `list_gifts` to safely match gift items with outgoing cards.

Setup guide

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

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

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

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Common questions about Handwrytten MCP in Pydantic AI

Install pydantic-ai-slim[mcp] and use the MCPToolset class with your Vinkius HTTP endpoint. Pass the toolset to your agent instance.

Yes, the agent queries list_address_book to get recipient lists. The framework validates the address fields to ensure they are complete before mailing.

If the API returns unexpected data during a list_cards call, Pydantic AI raises a validation error, stopping the execution before a card is sent.

Yes, Pydantic AI is model-agnostic. You can run this MCP Server with OpenAI, Anthropic, or local models while maintaining strict type safety.

Order histories retrieved via list_orders are processed in memory within the Vinkius MCP Server sandbox. They are never saved to disk or shared with external parties.

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