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Assembly MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Get Client, Get Company, Get Note, and more

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Assembly 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 Assembly app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 Assembly, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Assembly
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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 Assembly MCP Server

Assembly

The Assembly MCP Server allows AI agents to interact with your Assembly platform data seamlessly.

The Vercel AI SDK gives every Assembly 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

  • Retrieve clients, companies, and users.
  • Access workspaces and CRM details.
  • Manage notes and internal data.

The Assembly 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.

All 10 Assembly tools available for Vercel AI SDK

When Vercel AI SDK connects to Assembly through Vinkius, your AI agent gets direct access to every tool listed below — spanning client-management, workspace-management, crm, 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_client

Get details for a specific client

get_company

Get details for a specific company

get_note

Get a specific note

get_user

Get details for a specific user

get_workspace

Get a specific workspace

list_clients

List all Assembly clients

list_companies

List all Assembly companies

list_notes

List Assembly notes

list_users

List all Assembly users

list_workspaces

List all Assembly workspaces

Connect Assembly to Vercel AI SDK via MCP

Follow these steps to wire Assembly into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 10 tools from Assembly and passes them to the LLM

Why Use Vercel AI SDK with the Assembly MCP Server

Vercel AI SDK provides unique advantages when paired with Assembly through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Assembly integration everywhere

03

Built-in streaming UI primitives let you display Assembly tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Assembly + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Assembly MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Assembly in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Assembly tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Assembly capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Assembly through natural language queries

Example Prompts for Assembly in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Assembly immediately.

01

"List all clients in Assembly."

02

"Get companies in my account."

03

"Show all workspaces and the latest notes created this month."

Troubleshooting Assembly MCP Server with Vercel AI SDK

Common issues when connecting Assembly to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Assembly + Vercel AI SDK FAQ

Common questions about integrating Assembly MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.