Cobot MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cobot 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 Cobot, 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 Cobot MCP Server
Connect your Cobot account to any AI agent and take full control of your coworking space management through natural conversation. Streamline how you manage members, resources, and billing natively.
The Vercel AI SDK gives every Cobot tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Membership Oversight — List and retrieve details for all active memberships including their names and plan details natively
- Booking Intelligence — Access and monitor resource bookings within specific date ranges flawlessly
- Resource Management — List all bookable resources like desks and meeting rooms flawlessly
- Booking Lifecycle — Create new bookings for resources directly from your chat interface securely
- Invoicing Logistics — List and review membership invoices and their payment status flawlessly
- Space Visibility — Retrieve core information and metadata about your coworking space directly within your workspace
The Cobot MCP Server exposes 8 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 Cobot to Vercel AI SDK via MCP
Follow these steps to integrate the Cobot 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 8 tools from Cobot and passes them to the LLM
Why Use Vercel AI SDK with the Cobot MCP Server
Vercel AI SDK provides unique advantages when paired with Cobot 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 Cobot integration everywhere
Built-in streaming UI primitives let you display Cobot 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
Cobot + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cobot MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cobot in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cobot tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cobot capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cobot through natural language queries
Cobot MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Cobot to Vercel AI SDK via MCP:
create_new_booking
Create a new booking for a resource
get_cobot_space_info
Retrieve core information and metadata about the coworking space
get_membership_details
Get detailed information for a specific membership
list_cobot_invoices
List all membership invoices and their payment status
list_cobot_memberships
List all active memberships in the coworking space
list_membership_plans
List all available membership plans in the space
list_space_bookings
List all resource bookings within a specific date range
list_space_resources
List all bookable resources (desks, rooms) in the space
Example Prompts for Cobot in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cobot immediately.
"List all active memberships in my coworking space."
"Show me the bookings for 'Large Meeting Room' for this week."
"Are there any unpaid invoices from last month?"
Troubleshooting Cobot MCP Server with Vercel AI SDK
Common issues when connecting Cobot to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCobot + Vercel AI SDK FAQ
Common questions about integrating Cobot 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 Cobot 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 Cobot to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.