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 LangChain 10 tools — connect in under 2 minutes

Name: DISQO
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect DISQO through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "disqo": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using DISQO, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 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.

LangChain's ecosystem of 500+ components combines seamlessly with DISQO through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the DISQO MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from DISQO via MCP

Why Use LangChain with the DISQO MCP Server

LangChain provides unique advantages when paired with DISQO through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine DISQO MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across DISQO queries for multi-turn workflows

DISQO + LangChain Use Cases

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

RAG with live data: combine DISQO tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query DISQO, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain DISQO tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every DISQO tool call, measure latency, and optimize your agent's performance

DISQO MCP Tools for LangChain (10)

These 10 tools become available when you connect DISQO to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

DISQO + LangChain FAQ

Common questions about integrating DISQO MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.