How to Use the Paperform MCP in OpenAI Agents SDK
Build production-ready OpenAI Agents SDK systems that pull form data and register webhooks without manual export scripts.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Paperform MCP to OpenAI Agents SDK
Create your Vinkius account to connect Paperform to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Inspect live submissions using this MCP Server
The `list_submissions` tool pulls raw form entries directly into your OpenAI Agents SDK runtime. Your agent reads the payloads, filters the fields, and feeds them into your downstream workflows. Look, instead of exporting CSVs every morning, you let your agent run this check on a cron job. The SDK handles the token limits, and you get clean, structured JSON back.
Configure webhooks on the fly
The `create_webhook` tool registers HTTP endpoints for your forms without leaving the terminal. Your OpenAI Agents SDK workflow sets up these listeners to catch new submissions instantly. Right. So you don't have to click through the UI. This MCP tool handles the wiring, and the agent verifies the setup using `list_webhooks` to ensure the pipeline is active.
Audit form structures and settings
The `get_form` tool retrieves the exact schema of any active form in your account. Your OpenAI Agents SDK agents inspect fields, validation rules, and folder structures before processing new entries. Just keep in mind that forms change. Your agent runs `list_forms` first to map the workspace, then grabs the specific structure to prevent schema drift from breaking your database.
Set up Paperform MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Paperform tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Paperform tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Paperform tools and returns structured results. Copy the full example on the right to get started.
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="Paperform Agent",
instructions="You have access to Paperform tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Paperform. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Paperform MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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