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How to Use the WhatsApp Business Alternative MCP in Pydantic AI

Guarantee data accuracy for WhatsApp flows with Pydantic AI.

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Pydantic AI

Connect WhatsApp Business Alternative MCP to Pydantic AI

Create your Vinkius account to connect WhatsApp Business Alternative 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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Structured Account Verification

Use `get_waba_details` and `get_business_profile` to pull account credentials. Since every response validates against a schema, you know exactly what fields you're getting—no unexpected data types. This means your agent can trust the returned JSON structure before attempting any messaging calls.

Message Actions with Type Safety

If you call `send_template_message`, Pydantic validates that all required template variables are provided and formatted correctly. If something is missing, the agent fails loudly—you don't get silent corruption. Similarly, deleting a message template via `delete_message_template` confirms the ID exists before execution.

Resource Discovery Tools

To start, run `list_message_templates` and `list_phone_numbers`. These tools return predictable, validated lists of available assets. The agent knows exactly what fields to expect in the resulting array. It also lets you check media using `get_media`, ensuring all returned links are valid URLs.

Setup guide

Set up WhatsApp Business Alternative MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "whatsapp-business-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent WhatsApp Business Alternative transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WhatsApp Business. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about WhatsApp Business Alternative MCP in Pydantic AI

The framework validates every MCP response against a defined Pydantic model at runtime. This means if the server returns data that doesn't match your expected schema, the agent stops immediately with an explicit error.
Use `send_template_message` first. Because of type validation, you are guaranteed that the message content and variable structure meet your defined standards before hitting the network.
Yes, `list_phone_numbers` provides a typed list of all associated contacts. The agent can then process this structured data to build targeted communication campaigns.
The `get_media` tool returns validated metadata, ensuring that any URLs or identifiers you receive are correctly typed and usable in subsequent calls within your agent's workflow.
This MCP Server requires structured input/output for business profiles (JSON), media metadata (URLs), phone numbers (strings), and template IDs/names (strings).

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