How to Use the Kizeo Forms MCP in Pydantic AI

Build type-safe Kizeo Forms pipelines with Pydantic AI to catch invalid mobile data and user updates before execution.

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Connect Kizeo Forms MCP to Pydantic AI

Create your Vinkius account to connect Kizeo Forms 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 Kizeo Forms with Pydantic AI

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Type-Safe Submissions with Pydantic AI

Garbage data ruins mobile workflows. This MCP Server lets your Pydantic AI agent call `push_data_to_form` while validating every field against strict Python models at runtime. If a mobile user inputs a string where a number belongs, the agent catches the error immediately instead of sending bad data to Kizeo. This fail-fast design keeps your database clean. You define the expected structure, and the framework guarantees the agent won't execute the API call unless the payload matches your schema. No silent failures, no corrupted forms.

Validate Mobile User Accounts

Managing user profiles requires absolute precision to avoid security gaps. Your Pydantic AI agent uses `create_new_user` and `update_existing_user` to manage your mobile team. Every user object returned by `list_account_users` is parsed directly into a Pydantic model for immediate validation. If an API response contains unexpected fields or missing email values, the MCP client halts. This prevents your Pydantic AI agent from making decisions based on incomplete user profiles. You keep your field workforce directory clean and secure.

Audit Mobile Form Definitions

Field forms evolve, and your integration must keep up without breaking. The Pydantic AI agent calls `get_form_definition` and `list_all_forms` to audit active structures. It compares the live API schema with your local code definitions to detect discrepancies. When pulling records via `get_form_entry_data` or `search_form_data`, the data is validated instantly. This ensures your downstream analytics tools receive perfectly structured payloads. You avoid the headache of debugging broken pipelines mid-day.

Setup guide

Set up Kizeo Forms 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": {
        "kizeo-forms-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Kizeo Forms MCP in Pydantic AI

You initialize the unified MCP toolset with your Vinkius HTTP endpoint and pass it to the `Agent` constructor. The Pydantic AI agent instantly gains access to tools like `search_form_data` with full type validation. There is no need to write custom schema wrappers.

The framework raises a validation error immediately, causing the Pydantic AI agent execution to fail loudly. This prevents your pipeline from processing corrupt or incomplete mobile form submissions. It is the safest way to handle dynamic field data.

Yes, the agent validates the name, email, and password parameters against the `create_new_user` tool schema before hitting the API. If any parameter is malformed, the call is blocked. This saves API credits and prevents database pollution.

Yes, Pydantic AI natively supports async execution for all registered toolsets. You can run multiple `get_form_entry_data` queries concurrently to speed up your data aggregation. It keeps your field operations dashboard highly responsive.

Your mobile form entry data and account credentials run through an ephemeral V8 sandbox managed by Vinkius. This MCP setup ensures no data is written to disk, and all transport layer security is strictly enforced. This setup keeps your proprietary field data completely secure.

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