How do I get a DISQO API Key?

Log in to your DISQO platform account, navigate to the API section in your organization settings, and you can generate or retrieve your unique API Key from there. Note that API access may require a specific plan.

Can the agent show real-time consumer behavior?

Yes, you can use the list_behavioral_metrics tool to retrieve available consumer data points and high-level trends as reported by the DISQO behavioral data platform.

Is the integration secure for sensitive research data?

Absolutely. This integration uses official DISCO API protocols and only accesses the projects and insights exposed via your API key permissions, ensuring enterprise-grade research security.

DISQO MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: DISQO
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 DISQO "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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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 DISQO MCP Server

Integrate DISQO, the leading consumer insights and behavioral data platform, directly into your AI workflow. Manage your research projects, monitor real-time consumer trends and behavioral metrics, and track your audience panels and surveys using natural language.

Pydantic AI validates every DISQO tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Research Oversight — List and retrieve detailed settings and execution statuses for all your consumer insight projects.
Behavioral Intelligence — Access available behavioral metrics and data points tracked by the DISQO platform.
Audience Management — Monitor defined research audiences, including demographic filters and panel sizes.
Insight Tracking — Retrieve processed consumer insights and performance reports directly via chat.

The DISQO MCP Server exposes 10 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.

How to Connect DISQO to Pydantic AI via MCP

Follow these steps to integrate the DISQO MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from DISQO with type-safe schemas

Why Use Pydantic AI with the DISQO MCP Server

Pydantic AI provides unique advantages when paired with DISQO 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 DISQO integration code

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

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

DISQO + Pydantic AI Use Cases

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

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

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

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

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

DISQO MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect DISQO to Pydantic AI via MCP:

get_platform_metadata

Retrieve metadata and usage limits for your DISQO account

get_project_details

Get detailed settings and status for a specific DISQO project

list_behavioral_metrics

List behavioral metrics and data points tracked by DISQO

list_consumer_insights

List available consumer insights and behavioral reports

list_insight_projects

List all consumer insight projects in your DISQO account

list_largest_research_panels

Identify audience segments with the highest number of available panelists

list_research_audiences

List all defined consumer audiences available for research

list_running_research_projects

Identify research projects that are currently in the data collection phase

quick_behavioral_audit

Retrieve a high-level summary of the most active behavioral metrics

search_insights_by_keyword

Search for specific consumer insights or reports using a keyword

Example Prompts for DISQO in Pydantic AI

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

"List all active research projects."

"Show me the top behavioral metrics being tracked."

"Which research audience has the largest panel size?"

Troubleshooting DISQO MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

DISQO + Pydantic AI FAQ

Common questions about integrating DISQO MCP Server with Pydantic AI.

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 DISQO MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.