How to Use the WA Smart Business MCP in Pydantic AI

Q: How do I list WA Smart Business contacts using Pydantic AI?

Call listcontacts. The returned data will be validated against your Pydantic models, so you're guaranteed that the structure of every contact record is correct. This prevents runtime errors.

Q: Does WA Smart Business support group listing when using Pydantic AI?

Yes, use listgroups. The data received from this tool will be type-checked at runtime. You won't get unexpected or malformed group records.

Q: How do I send a WA Smart Business message using Pydantic AI?

You use the sendmessage tool. The key benefit is that even if the underlying API data shifts, the agent will fail with a clear validation error instead of continuing with bad information.

Q: If I need to check a contact's details with WA Smart Business and Pydantic AI?

Use getcontact. This ensures that the specific user data you retrieve is perfectly structured. It gives you confidence in your input data before any subsequent action.

Guarantee data integrity when using WA Smart Business messaging with Pydantic AI.

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Connect WA Smart Business MCP to Pydantic AI

Create your Vinkius account to connect WA Smart Business 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 WA Smart Business with Pydantic AI

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Send messages and validate structure via `send_message`

The `send_message` tool lets your agent send WhatsApp messages, but here's the thing: every output is validated against Pydantic models. If the API returns unexpected data, the agent fails loudly. You can also use `list_templates`, knowing that any message template data received will be type-safe and guaranteed to match your defined schema.

Pull contact details safely using `get_contact`

`get_contact` retrieves specific user information. Because of Pydantic validation, you never have to worry about silent corruption or hallucinated fields in the returned data. This method works great when your agent needs a single, validated profile before creating a record using `create_contact`.

List and validate groups with `list_groups`

`list_groups` pulls all WhatsApp group data. Your agent doesn't just get raw JSON; it gets structured, validated objects that you can trust completely. Similarly, when running `list_contacts` or `list_agents`, the resulting list is guaranteed to conform to your Python type definitions.

Setup guide

Set up WA Smart Business 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": {
        "wa-smart-business-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent WA Smart Business transactions")
print(result.output)

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Common questions about WA Smart Business MCP in Pydantic AI

Call `list_contacts`. The returned data will be validated against your Pydantic models, so you're guaranteed that the structure of every contact record is correct. This prevents runtime errors.

Yes, use `list_groups`. The data received from this tool will be type-checked at runtime. You won't get unexpected or malformed group records.

The server provides contact lists, groups, message templates, and agent roles. Every tool output—whether it's `get_contact` or listing functions—is validated against your defined models.

You use the `send_message` tool. The key benefit is that even if the underlying API data shifts, the agent will fail with a clear validation error instead of continuing with bad information.

Use `get_contact`. This ensures that the specific user data you retrieve is perfectly structured. It gives you confidence in your input data before any subsequent action.

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