How to Use the Wbiztool MCP in Pydantic AI

Q: Can I use Wbiztool to send messages with Pydantic AI?

Yep. You can dispatch single messages (sendmessage) and pre-approved, variable content using sendtemplate. The validation makes sure the payload structure is solid.

Q: How reliable is contact management with Wbiztool using Pydantic AI?

It's rock solid. When your agent calls getcontact or searchcontacts, the response must conform to your model, meaning you never get bad data back into your system.

Run validated messaging actions and contact management with Pydantic AI.

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Connect Wbiztool MCP to Pydantic AI

Create your Vinkius account to connect Wbiztool 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 Wbiztool with Pydantic AI

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Send Messages via MCP Server with Pydantic AI

The agent sends messages using `send_message` or uses pre-approved content through `send_template`. Because of the type-safe validation, if the API returns bad data, your agent fails loudly—you know exactly where it broke. This prevents silent corruption. You'll always get a predictable result that matches your defined Pydantic model.

Audit Message History with Pydantic AI

You can retrieve the full conversation log by calling `get_message_history`. This is critical for debugging and ensuring compliance. Additionally, running `list_messages` gives you a clean overview of all recent communications. The validation layer makes sure this history is structured correctly before it hits your model.

Find and Organize Contacts with MCP Server

When a user needs to find someone, the agent can use `search_contacts` to narrow down results. If they're new, calling `create_contact` ensures the record exists immediately. This type safety is key when dealing with contact data; you never have to worry about hallucinated or unexpected fields.

Setup guide

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

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

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

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Common questions about Wbiztool MCP in Pydantic AI

It exposes the MCP tools, and your agent calls them. The unique power here is that every time the tool returns data—whether it's a contact list or message history—it must match your defined Pydantic schema.

Yep. You can dispatch single messages (`send_message`) and pre-approved, variable content using `send_template`. The validation makes sure the payload structure is solid.

Your agent can handle everything from simple messages to sending bulk communications (`send_bulk_message`). It's all done through type-validated calls, giving you high confidence in the data.

This server touches Messages, Contacts, Groups, and Templates. Since everything is validated, you can trust the structure of the data for all these types.

It's rock solid. When your agent calls `get_contact` or `search_contacts`, the response must conform to your model, meaning you never get bad data back into your system.

Use it with your favorite AI tools

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