How to Use the Serviceform MCP in OpenAI Agents SDK
Convert visitors and capture data using Serviceform with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Serviceform MCP to OpenAI Agents SDK
Create your Vinkius account to connect Serviceform to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Check live chat history
Need to review past interactions? Use `list_chats` by passing criteria as a JSON string. This lets your agent pull specific chat histories based on what you define. The agent handles this call, giving you visibility into customer journeys before the sale. It’s crucial for diagnosing why leads dropped off.
List all active forms
Your system needs to know which data points are available? Call `list_forms` to get a list of every form currently running on your site. This gives the agent an inventory of data collection tools. The agent knows exactly what fields and rules apply before trying to capture any lead information, preventing bad calls.
Retrieve specific lead details
When a conversion happens, you need the raw data. The `get_lead` tool retrieves full details for a captured lead. This action gives your agent all necessary context on who signed up and how. This is key for handoffs. Your specialized agents can take those detailed inputs—like email or company size—and immediately pass them to sales.
Set up Serviceform 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 Serviceform tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Serviceform tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Serviceform 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="Serviceform Agent",
instructions="You have access to Serviceform 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 Serviceform. 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 Serviceform MCP in OpenAI Agents SDK
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