How to Use the Formsite MCP in OpenAI Agents SDK

Q: How do I connect Formsite to the OpenAI Agents SDK?

Install openai-agents via pip. Initialize MCPServerStreamableHttp with your Vinkius MCP endpoint. Pass it to your Agent constructor in the mcpservers array, and set cacheToolsList=True for faster cold starts.

Q: How does the agent know which form to query?

It runs listforms first. Once it has the internal ID, it uses that reference to fetch specific results or reports.

Connect Formsite to your production OpenAI Agents SDK system. Extract submission data, manage webhooks, and automate workflows safely.

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Connect Formsite MCP to OpenAI Agents SDK

Create your Vinkius account to connect Formsite to OpenAI Agents SDK 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 Formsite with OpenAI Agents SDK

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Read form data with OpenAI Agents SDK

The `list_results` tool pulls raw submission data directly from your forms. You do not need to build a custom polling loop. Your agent grabs the exact records it needs based on specific queries. Need to understand the structure first? The `get_form_details` and `list_form_items` tools expose the exact field definitions. This means your OpenAI agent can map incoming form data to other systems without guessing what specific field IDs actually mean.

Automate event-driven workflows

The `create_webhook` tool lets your agent set up real-time data pushes via this MCP Server. Instead of constantly checking for new submissions, your system reacts the second a user hits submit. You also get `list_webhooks` and `delete_webhook` for full lifecycle control. When an automation pipeline is retired, your agent tears down the associated hooks to keep your infrastructure clean.

Access structured Formsite reports

The `get_form_reports` tool retrieves aggregated data summaries. Your agent reads these reports to feed dashboards or trigger alerts based on volume spikes. You start by running `list_forms` to find the right target. The agent then pulls the corresponding report, applying OpenAI's built-in guardrails to ensure it only accesses the data it has permission to read.

Setup guide

Set up Formsite MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Formsite tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Formsite tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Formsite tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Formsite Agent",
            instructions="You have access to Formsite tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 Formsite. 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 Formsite MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Initialize `MCPServerStreamableHttp` with your Vinkius MCP endpoint. Pass it to your Agent constructor in the `mcp_servers` array, and set `cacheToolsList=True` for faster cold starts.

No. This MCP Server is strictly for reading data and managing webhooks. It cannot modify form layouts or delete submissions.

Yes. You monitor all tool executions, including rate limits, directly in the OpenAI dashboard. The tracing system logs every call your agent makes.

It runs `list_forms` first. Once it has the internal ID, it uses that reference to fetch specific results or reports.

This integration accesses sensitive form results and user inputs. The V8 Isolate Sandbox ensures that token credentials remain ephemeral, meaning your production agent reads the data without permanently storing the API keys in memory.

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