Bring Customer Feedback
to Pydantic AI
Learn how to connect Surveypal 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 SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Surveypal MCP Server?
Connect your Surveypal account to any AI agent and simplify how you collect user data, manage customer feedback loops, and analyze survey results through natural conversation.
What you can do
- Survey Management — List all surveys across your account and folders, and retrieve detailed configuration metadata.
- Response Analysis — List and query survey answers with date filtering, and drill down into individual responses.
- Outreach Automation — Programmatically send survey invitations via Email or SMS to individual contacts or bulk lists.
- Organization Control — Manage survey folders and contact directories to keep your research structured.
- Operational Monitoring — Check API health and account status directly from the agent.
- Data Insights — Fetch detailed metadata for specific answers to understand customer sentiment via AI.
How it works
- Subscribe to this server
- Enter your Surveypal API Key and API Secret (found in your account integrations)
- Start managing your feedback ecosystem from Claude, Cursor, or any MCP client
Who is this for?
- Customer Experience Managers — quickly retrieve survey summaries and analyze recent feedback via simple AI queries.
- Research & Insight Teams — automate the sending of invitations and verify data availability directly from the workspace.
- Operations Leads — monitor survey folders and manage contact directories via the AI assistant.
Built-in capabilities (12)
Get account info
Get individual answer
Check API status
Get contact details
Get survey details
List survey contacts
List surveys in folder
List survey folders
List survey answers
List all surveys
Send email invitation
Send SMS invitation
Why Pydantic AI?
Pydantic AI validates every Surveypal 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 Surveypal 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 Surveypal connection logic from agent behavior for testable, maintainable code
Surveypal in Pydantic AI
Surveypal and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Surveypal 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 | 4,000+ 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 Surveypal in Pydantic AI
The Surveypal 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
Surveypal for Pydantic AI
Every tool call from Pydantic AI to the Surveypal MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see all the answers for a specific survey via AI?
Yes! Use the list_survey_answers tool and provide the Survey ID. Your agent will retrieve a list of all submissions, which you can then ask the AI to summarize or filter.
How do I send a survey invitation via SMS using the agent?
Use the send_sms_invitation action. Provide the Survey ID and a JSON array of phone numbers. The agent will trigger the SMS broadcast instantly via Surveypal.
Is it possible to list surveys from a specific folder via AI?
Absolutely. Use the list_folder_surveys query and provide the Folder ID. The agent will retrieve all surveys organized within that specific directory.
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 Surveypal MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai
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