Fairing MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fairing through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Fairing Assistant",
instructions=(
"You help users interact with Fairing. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Fairing"
)
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 Fairing MCP Server
Connect your Fairing (formerly EnquireLabs) account to any AI agent and take full control of your post-purchase surveys and zero-party data through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Fairing through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Fairing, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Survey & Question Management — List all active questions and fetch detailed configurations for your post-purchase surveys
- Response Tracking — List and inspect individual survey responses to understand customer sentiment and attribution
- Zero-Party Data Analysis — Query customer-specific responses to pair survey data with your marketing profiles
- Aggregated Insights — Extract high-level insights and performance metrics across all your survey streams
- Integration Audit — Monitor active integrations with platforms like Klaviyo, GA4, and Meta directly from the cloud
- Account Context — Retrieve your Fairing account details and API token identity flawlessly
The Fairing 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.
How to Connect Fairing to OpenAI Agents SDK via MCP
Follow these steps to integrate the Fairing MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Fairing
Why Use OpenAI Agents SDK with the Fairing MCP Server
OpenAI Agents SDK provides unique advantages when paired with Fairing 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
Fairing + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Fairing MCP Server delivers measurable value.
Automated workflows: build agents that query Fairing, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Fairing, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Fairing tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Fairing to resolve tickets, look up records, and update statuses without human intervention
Fairing MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Fairing to OpenAI Agents SDK via MCP:
get_account_info
Get Fairing account information
get_customer_responses
Get all survey responses for a specific customer
get_insights
Get aggregated survey insights
get_me
Get current API token identity
get_question
Get details for a specific survey question
get_response
Get details for a specific survey response
get_survey_details
Get details for a specific survey
list_customers
List customers who have interacted with surveys
list_integrations
List active Fairing integrations
list_questions
List all Fairing survey questions
list_responses
List all survey responses
list_surveys
List all Fairing surveys
Example Prompts for Fairing in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Fairing immediately.
"List all active survey questions on Fairing."
"Show me the latest 5 survey responses."
"Check my active integrations on Fairing."
Troubleshooting Fairing MCP Server with OpenAI Agents SDK
Common issues when connecting Fairing to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Fairing + OpenAI Agents SDK FAQ
Common questions about integrating Fairing 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.Does the SDK support streaming responses?
Connect Fairing with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Fairing to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.