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SurveyMethods MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Collector, Create Contact, Create Survey, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect SurveyMethods through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The SurveyMethods app connector for Pydantic AI is a standout in the Data Analytics 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

python
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 SurveyMethods "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in SurveyMethods?"
    )
    print(result.data)

asyncio.run(main())
SurveyMethods
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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 SurveyMethods MCP Server

The SurveyMethods MCP server empowers your AI agent to manage surveys directly. Query response rates, fetch specific user feedback, and orchestrate automated polls efficiently through your chat.

Pydantic AI validates every SurveyMethods 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.

The SurveyMethods MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 SurveyMethods tools available for Pydantic AI

When Pydantic AI connects to SurveyMethods through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-surveys, poll-software, response-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_collector

Create a new collector for a survey

create_contact

Add a new contact

create_survey

Create a new survey

delete_survey

Permanently remove a survey

get_me

Check API connectivity and get account context

get_response

Retrieve a single response by ID

get_survey

Retrieve details for a specific survey

list_collectors

List all collectors (distribution channels) for a survey

list_contacts

List all contacts in your respondent database

list_responses

Retrieve all responses for a specific survey

list_surveys

List all surveys in your account

update_survey

Update an existing survey

Connect SurveyMethods to Pydantic AI via MCP

Follow these steps to wire SurveyMethods into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from SurveyMethods with type-safe schemas

Why Use Pydantic AI with the SurveyMethods MCP Server

Pydantic AI provides unique advantages when paired with SurveyMethods through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your SurveyMethods integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your SurveyMethods connection logic from agent behavior for testable, maintainable code

SurveyMethods + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the SurveyMethods MCP Server delivers measurable value.

01

Type-safe data pipelines: query SurveyMethods with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple SurveyMethods tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query SurveyMethods and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock SurveyMethods responses and write comprehensive agent tests

Example Prompts for SurveyMethods in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with SurveyMethods immediately.

01

"List all active surveys in my account."

02

"Get the completion rate for the 'Product Beta Feedback' survey."

03

"Close the survey ID 3042."

Troubleshooting SurveyMethods MCP Server with Pydantic AI

Common issues when connecting SurveyMethods to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

SurveyMethods + Pydantic AI FAQ

Common questions about integrating SurveyMethods MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your SurveyMethods MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.