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SurveySparrow MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Contact, Get Contact Info, Get Survey Details, and more

Built by Vinkius GDPR 12 Tools SDK

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

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Ask AI about this App Connector for Pydantic AI

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The SurveySparrow app connector for Pydantic AI is a standout in the Productivity 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 SurveySparrow "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
SurveySparrow
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* 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 SurveySparrow MCP Server

Connect your SurveySparrow account to any AI agent and simplify how you collect multi-channel feedback, manage your audience directory, and analyze survey data through natural conversation.

Pydantic AI validates every SurveySparrow 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 Oversight — List all conversational surveys, retrieve detailed configuration metadata, and query question structures.
  • Response Analysis — List and query survey submissions with status filtering (completed/started) to monitor completion rates.
  • Audience Management — Manage your CRM contacts, create new profiles, and organize them into contact lists for targeted sharing.
  • Campaign Tracking — List email shares and invitations to monitor how your surveys are being distributed.
  • Webhook Integration — List active webhooks to ensure your event-driven workflows are active and notifying correctly.
  • Operational Visibility — Check account status, verify region settings, and manage contact lifecycles directly via AI.

The SurveySparrow 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 SurveySparrow tools available for Pydantic AI

When Pydantic AI connects to SurveySparrow through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-surveys, experience-management, feedback-collection, 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_contact

Add new contact

get_contact_info

Get contact details

get_survey_details

Get survey info

get_survey_questions

List survey fields

get_user_profile

Get account info

list_active_webhooks

Get notifications config

list_contact_folders

List contact lists

list_crm_contacts

List audience contacts

list_email_shares

List survey invitations

list_survey_responses

List survey submissions

list_surveys

List SurveySparrow surveys

remove_contact

Delete contact

Connect SurveySparrow to Pydantic AI via MCP

Follow these steps to wire SurveySparrow 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 SurveySparrow with type-safe schemas

Why Use Pydantic AI with the SurveySparrow MCP Server

Pydantic AI provides unique advantages when paired with SurveySparrow 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 SurveySparrow 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 SurveySparrow connection logic from agent behavior for testable, maintainable code

SurveySparrow + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for SurveySparrow in Pydantic AI

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

01

"List all active surveys in my SurveySparrow account."

02

"Show me the last 5 responses for the 'Customer Effort Score' survey."

03

"Search for a contact with the email 'jane.doe@example.com'."

Troubleshooting SurveySparrow MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

SurveySparrow + Pydantic AI FAQ

Common questions about integrating SurveySparrow 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 SurveySparrow MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.