Indy MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Form, Create Webhook, Delete Form, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Indy 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 Indy app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 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 Indy "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Indy?"
)
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 Indy MCP Server
Connect your Indy account to any AI agent and manage forms and records through natural conversation.
Pydantic AI validates every Indy tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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 — List all forms, inspect configurations, create new forms, and delete unused ones
- Record Tracking — Browse all form submissions, inspect individual records with full field data
- Template Management — List and inspect form templates for reusable designs
- Group Organization — Browse form groups for organized management
- File Access — List files attached to form submissions
The Indy MCP Server exposes 12 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 12 Indy tools available for Pydantic AI
When Pydantic AI connects to Indy through Vinkius, your AI agent gets direct access to every tool listed below — spanning form-builder, data-collection, freelance-management, 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
Create a new webhook
Delete a form
Delete a webhook
Get account status
Get form details
Get submission details
Get user details
List all forms
List form submissions
List connected users
List active webhooks
Connect Indy to Pydantic AI via MCP
Follow these steps to wire Indy 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 Indy MCP Server
Pydantic AI provides unique advantages when paired with Indy 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 Indy integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Indy connection logic from agent behavior for testable, maintainable code
Indy + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Indy MCP Server delivers measurable value.
Type-safe data pipelines: query Indy with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Indy tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Indy and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Indy responses and write comprehensive agent tests
Example Prompts for Indy in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Indy immediately.
"Show all forms and the latest submissions for the 'Customer Feedback' form."
"Create a new 'Event Registration' form and list available templates."
"Show all records for the bug report form and any attached files."
Troubleshooting Indy MCP Server with Pydantic AI
Common issues when connecting Indy to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiIndy + Pydantic AI FAQ
Common questions about integrating Indy 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.