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How to Use the DISQO MCP in OpenAI Agents SDK

Connect your OpenAI Agents SDK to DISQO. Pull behavioral metrics and manage research projects directly within your agent workflow.

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OpenAI Agents SDK

Connect DISQO MCP to OpenAI Agents SDK

Create your Vinkius account to connect DISQO to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Real-time project tracking for OpenAI Agents SDK

Your agent monitors active research pipelines without leaving its environment. It uses `list_running_research_projects` to identify which consumer studies are currently collecting data. Once a project is identified, the agent calls `get_project_details` to verify settings. This ensures your agent always operates on current project configurations.

Automated behavioral audits with MCP Server

Stop manual data checks. Your agent executes `quick_behavioral_audit` to pull high-level summaries of active consumer metrics directly into its decision loop. You can then use `list_behavioral_metrics` to drill down into specific data points. This provides your agent with the necessary context to assess consumer behavior instantly.

Audience segment analysis for your agent

Identify the right research targets without human intervention. Your agent employs `list_largest_research_panels` to find segments with the most available panelists for your study. It verifies these segments using `list_research_audiences` before proceeding. This keeps your research focused on high-density demographics.

Setup guide

Set up DISQO MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all DISQO tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives DISQO tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate DISQO tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="DISQO Agent",
            instructions="You have access to DISQO tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DISQO. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DISQO MCP in OpenAI Agents SDK

You only need to provide your endpoint token during server configuration. The Vinkius infrastructure handles the rest, keeping your connection secure.
No. The current MCP Server implementation is restricted to read-only access for data retrieval. You can fetch project details and metrics, but you cannot modify them.
The MCP protocol ensures your agent receives updated tool definitions if the schema changes. Your OpenAI Agents SDK will adapt to the new tool signatures automatically.
No data is stored on our servers. The MCP Server acts as a pass-through, fetching live information directly from the DISQO platform to your agent.
The server only transmits requested consumer behavioral metrics and panel metadata. We use secure endpoints and strict authentication to ensure only your agent accesses your specific research data.

Start using the DISQO MCP today

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