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How to Use the iFax MCP in Pydantic AI

Use iFax with Pydantic AI for type-safe document transmission with runtime validation of every fax request.

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Connect iFax MCP to Pydantic AI

Create your Vinkius account to connect iFax 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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Type-safe faxing with Pydantic AI

Define your fax payload and let Pydantic AI validate the structure before calling `send_fax`. This prevents malformed data from reaching the API. If the server returns unexpected data, the agent stops immediately. This ensures your fax operations remain predictable and free from runtime corruption.

Monitor fax delivery in Pydantic AI

Use `get_fax_status` to check the progress of your document. The tool response is validated against your Pydantic models to ensure the status is accurate. If a fax fails, `resend_fax` allows your agent to attempt a recovery. The agent confirms the new status using the same strict validation rules.

Organize fax history with Pydantic AI

Call `list_faxes` to pull your transmission history into a typed format. Your agent uses these records to track document status across your application. Invoke `download_fax` to retrieve specific files. Pydantic AI ensures the file data matches expected types before your application processes the contents.

Setup guide

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

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

result = await agent.run("List recent iFax 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 iFax. 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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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about iFax MCP in Pydantic AI

You import the MCPToolset, point it at your server URL, and add it to your agent's toolsets list. Pydantic AI handles the validation of all tool outputs.
The agent will throw a validation error immediately. This stops the workflow and prevents the agent from acting on corrupted or hallucinated information.
Yes. Once you add the MCPToolset, Pydantic AI automatically recognizes the `send_fax` tool and enforces type-safety on the input arguments.
No. Vinkius provides a single endpoint token that handles all necessary authentication for the server connection.
All tool interactions are routed through an ephemeral V8 sandbox. Your document data is only handled during the execution of your specific tool calls.

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