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 LlamaIndex 10 tools — connect in under 2 minutes

Name: DISQO
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DISQO as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to DISQO. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

LlamaIndex agents combine DISQO tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the DISQO MCP Server

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

Data-first architecture: LlamaIndex agents combine DISQO tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain DISQO tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query DISQO, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what DISQO tools were called, what data was returned, and how it influenced the final answer

DISQO + LlamaIndex Use Cases

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

Hybrid search: combine DISQO real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query DISQO to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DISQO for fresh data

Analytical workflows: chain DISQO queries with LlamaIndex's data connectors to build multi-source analytical reports

DISQO MCP Tools for LlamaIndex (10)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

DISQO + LlamaIndex FAQ

Common questions about integrating DISQO MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.