How to Use the FormKeep MCP in Pydantic AI

Q: How do I initialize the FormKeep MCP Server in Pydantic AI?

Install pydantic-ai-slimmcp and use the unified MCPToolset class with your Vinkius HTTP URL. Pass the toolset directly to your Agent constructor.

Stop silent data corruption by validating your FormKeep MCP Server responses with Pydantic AI.

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Connect FormKeep MCP to Pydantic AI

Create your Vinkius account to connect FormKeep 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 FormKeep with Pydantic AI

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Type-Safe FormKeep Validation with Pydantic AI

Don't let your agent guess what fields are in a form. By calling `get_form_details`, Pydantic AI validates the returned metadata against your strict Python models at runtime. If the FormKeep API structure changes, the agent fails immediately and loudly. This prevents corrupt data from sneaking into your backend databases or downstream services.

Strict Submission Parsing

When your agent pulls data using `get_submission`, you need to know the payload matches your expected schema. Pydantic AI wraps the MCP Server response in a typed model, ensuring every string, integer, and email is validated. If a user enters garbage data that breaks your types, the framework catches it before your application logic processes it. This gives you bulletproof data ingestion without manual validation code.

Validated Bulk Runs and Deletions

Safely audit submissions in bulk. The agent runs `list_submissions` to fetch recent entries, processes them through your typed pipelines, and uses `delete_submission` to remove processed records. Because every step is strictly typed, there is zero risk of the agent passing an invalid ID to the delete tool. Your database state remains perfectly consistent.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FormKeep. 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 FormKeep MCP in Pydantic AI

Install pydantic-ai-slim[mcp] and use the unified MCPToolset class with your Vinkius HTTP URL. Pass the toolset directly to your Agent constructor.

The framework raises a validation error immediately. Instead of proceeding with bad data, your MCP client halts, allowing you to catch API drift instantly.

No, you should avoid the deprecated MCPServerHTTP class. Use the unified MCPToolset which supports both Streamable HTTP and SSE transports for your FormKeep MCP connections.

Yes, Pydantic AI is model-agnostic. You can connect the FormKeep tools to OpenAI, Anthropic, Gemini, or local models running on your own hardware.

Every transaction involving your form submissions is validated locally before being sent to the MCP host. This prevents accidental leakage of sensitive submission fields by filtering them through your defined Pydantic schemas first.

Use it with your favorite AI tools

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