How to Use the Formstack MCP in OpenAI Agents SDK

Q: Can my agent read the actual HTML of a form?

Yes. The getformhtml tool returns the raw markup. Your agent can read this to understand the exact layout or pass it along to a rendering pipeline.

Q: Does the OpenAI Agents SDK support deleting Formstack structures?

Yes, the deleteform tool is fully exposed. You should implement strict guardrails in your agent instructions to prevent accidental deletion of production assets.

Build production-grade data collection agents using Formstack and the OpenAI Agents SDK.

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Connect Formstack MCP to OpenAI Agents SDK

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

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Manage schemas with this Formstack MCP Server

The `create_form` and `update_form` tools let your OpenAI agents spin up and modify data collection interfaces on the fly. You define the guardrails in your agent setup, and the system executes the structural changes safely. When marketing needs a new campaign intake, your specialized agent handles the build. It pulls existing layouts using `list_forms`, maps the required inputs, and deploys the new structure without breaking existing integrations.

Automate webhook routing across agents

Use `create_webhook` and `list_form_webhooks` to wire your forms directly into your backend infrastructure. Your agent configures the endpoints so data flows exactly where it needs to go immediately after submission. This beats polling. Instead of burning API quotas checking for updates, your system listens for the payload. The agent sets up the webhooks once, hands off the monitoring task, and your production environment stays clean.

Extract and trace submission data

The `list_submissions` and `get_submission_details` tools pull raw user inputs straight into your Python environment. OpenAI's tracing dashboard tracks exactly when and why the agent requested this specific data. You get full visibility into the execution. If an agent tries to pull records from a sensitive form, your guardrails catch it. For safe forms, it extracts the data, formats it, and passes it to the next step in your pipeline.

Setup guide

Set up Formstack 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 Formstack tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Formstack 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="Formstack Agent",
            instructions="You have access to Formstack tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Formstack MCP in OpenAI Agents SDK

Install openai-agents via pip. Wrap your endpoint in MCPServerStreamableHttp using MCPServerStreamableHttpParams. Pass it to the mcp_servers array in your Agent constructor inside an async context manager.

Yes. The `get_form_html` tool returns the raw markup. Your agent can read this to understand the exact layout or pass it along to a rendering pipeline.

Setting cacheToolsList to True stops the agent from refetching the tool definitions on every turn. This drops latency significantly when your agent repeatedly calls endpoints like `get_form_stats`.

Yes, the `delete_form` tool is fully exposed. You should implement strict guardrails in your agent instructions to prevent accidental deletion of production assets.

This server touches raw user submission data, which often contains names, emails, and phone numbers. The MCP protocol routes these payloads straight from the API to your local Python environment. No third-party middleware intercepts or stores your form records.

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