How to Use the Domo MCP in Pydantic AI

Q: Does the Pydantic AI setup support sending invite emails when adding Domo users?

Yes, when your Pydantic AI agent calls createuser, you can configure the parameters to trigger Domo's native email invitation system automatically through the Pydantic AI workflow.

Run type-safe Domo user provisioning and group assignments using Pydantic AI to guarantee runtime data integrity.

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Connect Domo MCP to Pydantic AI

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Setup Domo with Pydantic AI

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Type-safe user creation with Pydantic AI

Avoid silent failures when managing your Domo directories using Pydantic AI. This MCP Server integrates with Pydantic AI to validate every payload against strict schemas before executing `create_user` on your Domo server. If your Pydantic AI agent attempts to pass an invalid email format or an unsupported role to Domo, the framework catches the error at runtime. This prevents broken Domo profile creation attempts in your Pydantic AI application, keeping your user database clean.

Strict group membership operations via MCP

Moving users between Domo permission sets can be risky in Pydantic AI workflows. Your Pydantic AI agent uses `add_user_to_group` and `remove_user_from_group` to handle transitions with absolute structural certainty. Because Pydantic AI enforces type checks on every parameter, you can be sure that Domo group IDs and user IDs are correctly formatted strings before any API request is dispatched.

Safe profile modifications

Updating Domo user details requires precision to avoid overwriting critical attributes in Pydantic AI systems. The Pydantic AI agent executes `update_user` to modify roles or contact details based on verified incoming webhooks. If a webhook payload contains corrupt data, the Pydantic AI validation layer blocks the tool execution before it touches Domo. Your Pydantic AI agent stays informed with clear error logs instead of executing bad updates to Domo.

Setup guide

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

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

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

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Common questions about Domo MCP in Pydantic AI

Initialize the MCPToolset with your Domo server HTTP URL and pass it to the Pydantic AI agent's toolsets parameter. The Pydantic AI framework will automatically handle the underlying protocol and expose tools like `create_user`.

The Pydantic AI framework will raise a validation error immediately if Domo returns unexpected user payload structures. Instead of proceeding with corrupt data, your Pydantic AI application fails loudly, allowing you to catch Domo API mismatches instantly.

Yes, you can run the Domo server externally and connect it to Pydantic AI via the Streamable HTTP transport. Your Pydantic AI agent will query the endpoint to discover Domo user management tools like `create_group` dynamically.

Yes, when your Pydantic AI agent calls `create_user`, you can configure the parameters to trigger Domo's native email invitation system automatically through the Pydantic AI workflow.

Your Domo emails, usernames, and group memberships are strictly processed in-flight during Pydantic AI tool executions. Vinkius runs the execution in zero-trust, ephemeral sandboxes, ensuring no sensitive Domo identity data is logged or stored long-term.

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