How to Use the SurveySparrow MCP in Pydantic AI

Q: How does Pydantic AI validate SurveySparrow responses?

Every time you call listsurveyresponses, the data is checked against a defined model. If the API returns unexpected fields, your agent fails immediately with an explicit validation error.

Q: Can I check existing surveys using Pydantic AI?

You can use listsurveys to get a list of all active survey titles. The framework guarantees that the data returned is structured and predictable, which is key for reliable automation.

Q: What about managing contact lists with Pydantic AI?

The agent can use listcontactfolders to map out existing contact groups. This process validates that the list names and structures match what you expect, preventing misdirected workflows.

Q: How do I manage SurveySparrow webhooks with Pydantic AI?

The listactivewebhooks tool lets you check your current notification setup. Because of the type safety, you'll know exactly what data structure to expect from those endpoints.

Ensure SurveySparrow data correctness with the Pydantic AI framework.

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Connect SurveySparrow MCP to Pydantic AI

Create your Vinkius account to connect SurveySparrow to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup SurveySparrow with Pydantic AI

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Validate Contact Data Flow

Need to know who you're talking to? Use `get_contact_info` to fetch a user’s current details. If those fields are messy, the agent fails loud, letting you know exactly what needs cleaning up before sending an invitation.

Get Survey Structure Details

When building prompts, start by using `get_survey_details` and then `get_survey_questions`. This ensures your agent understands the exact format of every field. The Pydantic validation keeps you from hallucinating fields.

List Survey Invitations Sent

To audit outreach, call `list_email_shares` to review all survey invitations sent out. This tool validates the data about who was asked and when, ensuring your records are accurate.

Setup guide

Set up SurveySparrow MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "surveysparrow-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to SurveySparrow tools.",
)

result = await agent.run("List recent SurveySparrow transactions")
print(result.output)

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Common questions about SurveySparrow MCP in Pydantic AI

Every time you call `list_survey_responses`, the data is checked against a defined model. If the API returns unexpected fields, your agent fails immediately with an explicit validation error.

You can use `list_surveys` to get a list of all active survey titles. The framework guarantees that the data returned is structured and predictable, which is key for reliable automation.

The agent can use `list_contact_folders` to map out existing contact groups. This process validates that the list names and structures match what you expect, preventing misdirected workflows.

The `list_active_webhooks` tool lets you check your current notification setup. Because of the type safety, you'll know exactly what data structure to expect from those endpoints.

This MCP Server handles contact details and survey responses. The Pydantic framework ensures that the associated user ID and response content fields conform strictly to your defined schemas.

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