Porsline MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Porsline Status, Create Folder, Create Survey, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Porsline through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Porsline app connector for OpenAI Agents SDK is a standout in the Customer Support category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Porsline Assistant",
instructions=(
"You help users interact with Porsline. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Porsline"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Porsline MCP Server
Connect your Porsline account to any AI agent and simplify your survey creation, response tracking, and feedback orchestration through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Porsline through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Porsline, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Survey Management — List all surveys, retrieve detailed metadata, status, and summary for each form
- Response Tracking — Access individual responses and answers to stay on top of your user feedback
- Live Reporting — Query aggregate metrics and summary reports for any survey to understand performance
- Folder Coordination — List organizational folders to manage your survey distribution and project structure
- Direct Insights — Monitor your survey pipeline and engagement metrics directly from your agent
The Porsline MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Porsline tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Porsline through Vinkius, your AI agent gets direct access to every tool listed below — spanning feedback-collection, form-builder, data-reporting, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Create a folder
Create a survey
Duplicate a survey
Export responses
Get survey report
Get response details
Get survey details
List folders
List questions
List responses
List surveys
Connect Porsline to OpenAI Agents SDK via MCP
Follow these steps to wire Porsline into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Porsline MCP Server
OpenAI Agents SDK provides unique advantages when paired with Porsline through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Porsline + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Porsline MCP Server delivers measurable value.
Automated workflows: build agents that query Porsline, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Porsline, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Porsline tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Porsline to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Porsline in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Porsline immediately.
"List all my surveys in Porsline."
"Show me all active surveys and their response rates for the current quarter."
"Get the detailed results and analytics for the Customer Satisfaction Q2 survey."
Troubleshooting Porsline MCP Server with OpenAI Agents SDK
Common issues when connecting Porsline to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Porsline + OpenAI Agents SDK FAQ
Common questions about integrating Porsline MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.