Mokaform MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Create Form, Delete Response, Get Form, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mokaform 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 Mokaform app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 8 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 Mokaform "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Mokaform?"
)
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 Mokaform MCP Server
Connect your Mokaform account to any AI agent and manage AI-powered forms through natural conversation.
Pydantic AI validates every Mokaform tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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 Management — Create, update, and list forms
- Response Collection — Browse and read form submissions
- Workspace Management — Organize forms across multiple workspaces
- Response Actions — View individual responses or delete them
The Mokaform MCP Server exposes 8 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 8 Mokaform tools available for Pydantic AI
When Pydantic AI connects to Mokaform through Vinkius, your AI agent gets direct access to every tool listed below — spanning form-builder, data-collection, survey-automation, 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 form
Delete a form response
Get form details
Get specific response details
List all forms
List all responses for a form
List all workspaces
Update an existing form
Connect Mokaform to Pydantic AI via MCP
Follow these steps to wire Mokaform 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 Mokaform MCP Server
Pydantic AI provides unique advantages when paired with Mokaform 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 Mokaform integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Mokaform connection logic from agent behavior for testable, maintainable code
Mokaform + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Mokaform MCP Server delivers measurable value.
Type-safe data pipelines: query Mokaform with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Mokaform tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Mokaform and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Mokaform responses and write comprehensive agent tests
Example Prompts for Mokaform in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Mokaform immediately.
"List all forms and show their response counts."
"Show the latest 3 responses for the Customer Feedback form."
"Create a new feedback form in the Marketing workspace."
Troubleshooting Mokaform MCP Server with Pydantic AI
Common issues when connecting Mokaform to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMokaform + Pydantic AI FAQ
Common questions about integrating Mokaform 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.