Bring Zero Party Data
to Pydantic AI
Learn how to connect Fairing to Pydantic AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the 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.
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
How it works
1. Subscribe to this server
2. Enter your Fairing API Key (found in Settings > Account)
3. Start managing your customer insights from Claude, Cursor, or any MCP-compatible client
Who is this for?
- E-commerce Marketers — monitor customer attribution and survey performance without leaving your productivity tools
- Retention Specialists — review customer-specific feedback to personalize outreach and improve LTV
- Data Analysts — pull raw survey responses and insights directly into your AI-powered data workflow
Built-in capabilities (12)
Get Fairing account information
Get all survey responses for a specific customer
Get aggregated survey insights
Get current API token identity
Get details for a specific survey question
Get details for a specific survey response
Get details for a specific survey
List customers who have interacted with surveys
List active Fairing integrations
List all Fairing survey questions
List all survey responses
List all Fairing surveys
Why Pydantic AI?
Pydantic AI validates every Fairing tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Fairing integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Fairing connection logic from agent behavior for testable, maintainable code
Fairing in Pydantic AI
Fairing and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Fairing to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Fairing in Pydantic AI
The Fairing 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Fairing for Pydantic AI
Every tool call from Pydantic AI to the Fairing MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Fairing MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai