4,500+ servers built on MCP Fusion
Vinkius
DISQO logo
Vinkius
Claude Code logo

How to Use the DISQO MCP in Claude Code

Pipe live DISQO behavioral metrics directly into your terminal using the Claude Code MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

DISQO MCP on Cursor AI Code Editor MCP Client DISQO MCP on Claude Desktop App MCP Integration DISQO MCP on OpenAI Agents SDK MCP Compatible DISQO MCP on Visual Studio Code MCP Extension Client DISQO MCP on GitHub Copilot AI Agent MCP Integration DISQO MCP on Google Gemini AI MCP Integration DISQO MCP on Lovable AI Development MCP Client DISQO MCP on Mistral AI Agents MCP Compatible DISQO MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Claude Code

Connect DISQO MCP to Claude Code

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

GDPR Free for Subscribers

Automate headless DISQO audits from the terminal

Claude Code runs entirely in your shell, making it easy to build automated scripts for your research operations. The agent can trigger `quick_behavioral_audit` to fetch current panel activity and pipe that raw output directly into local data processing tools. This headless execution removes the need for web interfaces or heavy IDEs. You can run quick checks on your command line and immediately parse the results using standard terminal utilities.

Build CI/CD verification pipelines with this MCP Server

You can integrate this tool into your automated deployment pipelines. Claude Code runs commands to verify project statuses using `list_running_research_projects` before deploying new tracking code to production. If a project is inactive or a configuration is missing, the pipeline halts. This prevents broken tracking implementations from reaching your users and corrupting your behavioral datasets.

Query and filter consumer insights via shell commands

Searching through large research libraries is fast when you do it from the terminal. Claude Code uses `search_insights_by_keyword` to scan your repository, then filters the results based on your current project context. You can also use `list_consumer_insights` to output structured JSON data directly to your stdout. This makes it simple to feed clean research data into downstream scripts or database seeds.

Setup guide

Set up DISQO MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see disqo-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest DISQO transactions." It will automatically discover and invoke the available DISQO tools.

Terminal
claude mcp add --transport http disqo-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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 Claude Code

Run the `claude mcp add` command with your transport settings and the Vinkius URL. Claude Code writes this directly to your local config so you can start querying panel data immediately.
Yes. You can ask Claude Code to run `list_behavioral_metrics` and format the output as raw JSON, which you can then pipe directly into tools like jq or curl.
The agent calls `get_platform_metadata` to retrieve your current usage limits. It displays this information directly in your terminal so you don't exceed your API quotas during automated runs.
Yes. You can pass a project ID to Claude Code, and it will use `get_project_details` to return the full configuration schema and status details directly to your terminal.
Vinkius manages authentication via one-time tokens, so your master API keys are never exposed in your terminal history. Your consumer behavioral reports are fetched over encrypted HTTPS channels and exist only in your current shell session's memory.

Start using the DISQO MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for DISQO. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.