CONSENSUS MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Get Demoboard, List Demoboards, List Demolytics, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CONSENSUS through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The CONSENSUS app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 CONSENSUS, 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 CONSENSUS MCP Server
Connect your Consensus account to any AI agent and take full control of your interactive video demo and buyer intelligence workflows through natural conversation.
The Vercel AI SDK gives every CONSENSUS tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- DemoBoard Orchestration — List and manage your active DemoBoards programmatically, retrieving detailed metadata about leads and stakeholder engagement
- Demolytics Intelligence — Access real-time analytics to understand which sections of your automated demos are being watched, skipped, or shared by prospects
- Invitation Tracking — Programmatically monitor sent demo invitations and track outreach performance to coordinate perfectly timed sales follow-ups
- Asset Discovery — Retrieve a complete directory of all available interactive demos and assets in your library to maintain high-fidelity sales enablement
- Team Visibility — Access directories of account users and roles to maintain an organized sales team structure and permission oversight
The CONSENSUS MCP Server exposes 6 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.
All 6 CONSENSUS tools available for Vercel AI SDK
When Vercel AI SDK connects to CONSENSUS through Vinkius, your AI agent gets direct access to every tool listed below — spanning demo-automation, buyer-intent, interactive-video, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get DemoBoard details
List all DemoBoards
List analytics for demos
List all available demos
List sent demo invitations
List all account users
Connect CONSENSUS to Vercel AI SDK via MCP
Follow these steps to wire CONSENSUS into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the CONSENSUS MCP Server
Vercel AI SDK provides unique advantages when paired with CONSENSUS 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 CONSENSUS integration everywhere
Built-in streaming UI primitives let you display CONSENSUS 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
CONSENSUS + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CONSENSUS MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CONSENSUS in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CONSENSUS tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CONSENSUS capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CONSENSUS through natural language queries
Example Prompts for CONSENSUS in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CONSENSUS immediately.
"List all my active DemoBoards in Consensus."
"Show me the Demolytics summary for my latest demo."
"List all members of my sales team and their roles."
Troubleshooting CONSENSUS MCP Server with Vercel AI SDK
Common issues when connecting CONSENSUS to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCONSENSUS + Vercel AI SDK FAQ
Common questions about integrating CONSENSUS 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.