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 OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: DISQO
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DISQO through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="DISQO Assistant",
            instructions=(
                "You help users interact with DISQO. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from DISQO"
        )
        print(result.final_output)

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.

The OpenAI Agents SDK auto-discovers all 10 tools from DISQO through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DISQO, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the DISQO MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from DISQO

Why Use OpenAI Agents SDK with the DISQO MCP Server

OpenAI Agents SDK provides unique advantages when paired with DISQO through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

DISQO + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the DISQO MCP Server delivers measurable value.

Automated workflows: build agents that query DISQO, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries DISQO, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through DISQO tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query DISQO to resolve tickets, look up records, and update statuses without human intervention

DISQO MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect DISQO to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting DISQO to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

DISQO + OpenAI Agents SDK FAQ

Common questions about integrating DISQO MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.