How to Use the Formbricks MCP in OpenAI Agents SDK
Automate user feedback loops directly inside your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Formbricks MCP to OpenAI Agents SDK
Create your Vinkius account to connect Formbricks 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.
Trigger surveys based on agent logic
Your agent can now programmatically deploy feedback requests the moment a user completes a task. By calling `create_survey`, you inject a survey directly into the user's flow without manual intervention. This MCP Server lets your agent decide when to ask for input. It ensures you only capture feedback when the user is most likely to provide honest, actionable data.
Validate user intent with OpenAI Agents SDK
Use `list_action_classes` to map specific user behaviors to your feedback strategy. Your agent monitors these actions to ensure the survey context matches the user's current session. This prevents the common mistake of firing surveys at the wrong time. You get high-quality responses because the agent understands the exact state of the user.
Analyze feedback loops programmatically
Your agent can pull raw data using `list_responses` and `get_response` to summarize sentiment in real-time. This turns raw feedback into immediate insights for your product team. By chaining these tools, your agent identifies patterns in user frustration before they turn into churn. You handle the analysis, and the MCP Server handles the data access.
Set up Formbricks 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 Formbricks tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Formbricks tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Formbricks 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="Formbricks Agent",
instructions="You have access to Formbricks 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 Formbricks. 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 Formbricks MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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