OpnForm MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Create Form, Delete Form, Delete Submission, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OpnForm through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The OpnForm app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to OpnForm "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in OpnForm?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About OpnForm MCP Server
Connect your OpnForm account to any AI agent and take full control of your form orchestration and data collection through natural conversation. OpnForm is a modern, AI-first, open-source form builder that allows you to create professional forms in seconds.
Pydantic AI validates every OpnForm tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Form & Workspace Orchestration — List all managed workspaces and forms programmatically to keep your data collection infrastructure always synchronized.
- Dynamic Form Generation — Create new forms and update existing fields directly from the AI interface to rapidly deploy surveys or lead magnets.
- Submission Intelligence — Retrieve and analyze form responses in real-time via natural language to extract insights without manual exporting.
- Lifecycle Management — Delete stale forms and manage workspace metadata using simple AI commands.
- Account Visibility — Access your profile and API token capabilities to ensure your automation has the correct permissions.
The OpnForm MCP Server exposes 11 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 OpnForm tools available for Pydantic AI
When Pydantic AI connects to OpnForm through Vinkius, your AI agent gets direct access to every tool listed below — spanning opnform, form-builder, ai-forms, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new Optform form
Delete an Optform form
Delete a form submission
Get details for a specific Optform form
Get current Optform user details
Get details for a specific form submission
Get details for a specific Optform workspace
List forms in Optform
List submissions for a form
List Optform workspaces
Update an existing Optform form
Connect OpnForm to Pydantic AI via MCP
Follow these steps to wire OpnForm into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the OpnForm MCP Server
Pydantic AI provides unique advantages when paired with OpnForm through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your OpnForm integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your OpnForm connection logic from agent behavior for testable, maintainable code
OpnForm + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the OpnForm MCP Server delivers measurable value.
Type-safe data pipelines: query OpnForm with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple OpnForm tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query OpnForm and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock OpnForm responses and write comprehensive agent tests
Example Prompts for OpnForm in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with OpnForm immediately.
"List all active forms in my 'Marketing' workspace."
"List all submissions received on my contact form this week with their responses."
"Create a new feedback survey form in my Product workspace with rating and comment fields."
Troubleshooting OpnForm MCP Server with Pydantic AI
Common issues when connecting OpnForm to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOpnForm + Pydantic AI FAQ
Common questions about integrating OpnForm MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.