DISQO MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DISQO through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using DISQO, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Vercel AI SDK gives every DISQO tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the DISQO MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from DISQO and passes them to the LLM
Why Use Vercel AI SDK with the DISQO MCP Server
Vercel AI SDK provides unique advantages when paired with DISQO through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same DISQO integration everywhere
Built-in streaming UI primitives let you display DISQO tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
DISQO + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DISQO MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DISQO in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DISQO tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DISQO capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DISQO through natural language queries
DISQO MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DISQO to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting DISQO to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDISQO + Vercel AI SDK FAQ
Common questions about integrating DISQO MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect DISQO with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DISQO to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.