Surveypal MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Get Account Info, Get Answer, Get Api Status, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Surveypal through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The Surveypal MCP Server for Pydantic AI is a standout in the Customer Support category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Surveypal "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Surveypal?"
)
print(result.data)
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 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.
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.
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.
The Surveypal MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Surveypal tools available for Pydantic AI
When Pydantic AI connects to Surveypal through Vinkius, your AI agent gets direct access to every tool listed below — spanning customer-feedback, employee-experience, survey-analytics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get account info on Surveypal
Get account info
Get answer on Surveypal
Get individual answer
Get api status on Surveypal
Check API status
Get contact on Surveypal
Get contact details
Get survey on Surveypal
Get survey details
List contacts on Surveypal
List survey contacts
List folder surveys on Surveypal
List surveys in folder
List folders on Surveypal
List survey folders
List survey answers on Surveypal
List survey answers
List surveys on Surveypal
List all surveys
Send email invitation on Surveypal
Send email invitation
Send sms invitation on Surveypal
Send SMS invitation
Connect Surveypal to Pydantic AI via MCP
Follow these steps to wire Surveypal into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Surveypal MCP Server
Pydantic AI provides unique advantages when paired with Surveypal through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Surveypal integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Surveypal connection logic from agent behavior for testable, maintainable code
Surveypal + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Surveypal MCP Server delivers measurable value.
Type-safe data pipelines: query Surveypal with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Surveypal tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Surveypal and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Surveypal responses and write comprehensive agent tests
Example Prompts for Surveypal in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Surveypal immediately.
"List all active surveys in my Surveypal account."
"Show me the last 5 answers for the 'Customer Satisfaction' survey."
"Send an email invitation for survey '10293' to 'user@example.com'."
Troubleshooting Surveypal MCP Server with Pydantic AI
Common issues when connecting Surveypal to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSurveypal + Pydantic AI FAQ
Common questions about integrating Surveypal MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
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