Fairing MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Fairing as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="fairing_agent",
tools=tools,
system_message=(
"You help users with Fairing. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Fairing tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Fairing MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Fairing automatically
Why Use AutoGen with the Fairing MCP Server
AutoGen provides unique advantages when paired with Fairing through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Fairing tools to solve complex tasks
Role-based architecture lets you assign Fairing tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Fairing tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Fairing tool responses in an isolated environment
Fairing + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Fairing MCP Server delivers measurable value.
Collaborative analysis: one agent queries Fairing while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Fairing, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Fairing data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Fairing responses in a sandboxed execution environment
Fairing MCP Tools for AutoGen (12)
These 12 tools become available when you connect Fairing to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Fairing to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Fairing + AutoGen FAQ
Common questions about integrating Fairing MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.