Assembled MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Assembled 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 Assembled, 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 Assembled MCP Server
The Assembled MCP Server provides your AI agent with direct access to your workforce management (WFM) data. Optimize your support operations by monitoring agent availability, auditing schedules, and analyzing contact volume forecasts using natural language.
The Vercel AI SDK gives every Assembled tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Capabilities
- Agent & State Tracking — List all users and monitor real-time agent states to see who is online, on break, or in a meeting.
- Team & Queue Management — Audit your support organization structure by listing teams and individual support queues.
- Schedule Oversight — Retrieve detailed agent schedules for any time range to ensure proper coverage.
- Forecasting Insights — Access contact volume forecasts to prepare for upcoming support demand.
- Operational Auditing — Quickly verify account connections and organizational metadata without manual reports.
- Secure API Access — Uses your Assembled API Key for safe and authenticated communication with your WFM data.
The Assembled MCP Server exposes 7 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 Assembled to Vercel AI SDK via MCP
Follow these steps to integrate the Assembled 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 7 tools from Assembled and passes them to the LLM
Why Use Vercel AI SDK with the Assembled MCP Server
Vercel AI SDK provides unique advantages when paired with Assembled 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 Assembled integration everywhere
Built-in streaming UI primitives let you display Assembled 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
Assembled + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Assembled MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Assembled in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Assembled tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Assembled capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Assembled through natural language queries
Assembled MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Assembled to Vercel AI SDK via MCP:
get_account_check
Verify Assembled account connection
list_agent_states
List real-time agent states
list_forecasts
List contact volume forecasts
list_queues
List all support queues
list_schedules
List agent schedules for a time range
list_teams
List all teams
list_users
List all users in Assembled
Example Prompts for Assembled in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Assembled immediately.
"List all agents currently online in Assembled."
"Show me the schedule for 'Support Team Alpha' for today."
"What is the contact volume forecast for next Monday?"
Troubleshooting Assembled MCP Server with Vercel AI SDK
Common issues when connecting Assembled to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAssembled + Vercel AI SDK FAQ
Common questions about integrating Assembled 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 Assembled 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 Assembled to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.