How do I obtain my Fairing API Key?

You can find your API Key in the Fairing admin portal under **Settings > Account**. Note that API access may depend on your current subscription plan.

Can I see responses for a specific customer?

Yes! Use the `get_customer_responses` tool with the specific Customer ID to retrieve all survey feedback associated with that individual.

What kind of insights can I extract?

The `get_insights` tool provides aggregated data on question performance, response rates, and attribution trends across your survey streams.

Fairing MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Fairing
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Fairing through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "fairing": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Fairing, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Fairing through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Fairing MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Fairing via MCP

Why Use LangChain with the Fairing MCP Server

LangChain provides unique advantages when paired with Fairing through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Fairing MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Fairing queries for multi-turn workflows

Fairing + LangChain Use Cases

Practical scenarios where LangChain combined with the Fairing MCP Server delivers measurable value.

RAG with live data: combine Fairing tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Fairing, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Fairing tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Fairing tool call, measure latency, and optimize your agent's performance

Fairing MCP Tools for LangChain (12)

These 12 tools become available when you connect Fairing to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Fairing to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fairing + LangChain FAQ

Common questions about integrating Fairing MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.