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Vinkius

Channable MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Channable through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

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

main();
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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 Channable MCP Server

Connect your Channable account to any AI agent and orchestrate your marketplace order management and stock synchronization through natural conversation. Streamline how you sell across Amazon, eBay, bol.com, and more.

The Vercel AI SDK gives every Channable 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

  • Order Fulfillment — List and retrieve details for orders from all connected marketplaces natively
  • Stock Synchronization — Update product stock levels across all channels to prevent overselling flawlessly
  • Shipment Tracking — Update order statuses and send tracking information back to marketplaces securely
  • Returns Oversight — List and manage customer returns directly from your chat interface flawlessly
  • Project Visibility — Access and monitor multiple projects and connected channels in real-time
  • Commerce Intelligence — Retrieve detailed order metadata and project summaries directly within your workspace

The Channable 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 Channable to Vercel AI SDK via MCP

Follow these steps to integrate the Channable MCP Server with Vercel AI SDK.

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 8 tools from Channable and passes them to the LLM

Why Use Vercel AI SDK with the Channable MCP Server

Vercel AI SDK provides unique advantages when paired with Channable 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 Channable integration everywhere

03

Built-in streaming UI primitives let you display Channable 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

Channable + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Channable MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect Channable to Vercel AI SDK via MCP:

01

get_order_details

Get detailed information for a specific order

02

get_project_summary

Get summary details for a specific project

03

list_channable_projects

List all projects for the company

04

list_connected_channels

List connected marketplace channels for a project

05

list_customer_returns

List customer returns for a specific project

06

list_marketplace_orders

List orders from connected marketplaces for a project

07

list_order_shipments

List shipments and tracking info for a project

08

update_product_stock

Update stock levels for products in a project

Example Prompts for Channable in Vercel AI SDK

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

01

"Show me the last 10 orders from all marketplaces."

02

"Update stock for SKU 'TSHIRT-L-RED' to 25 units in project 123."

03

"List all active channels for project 456."

Troubleshooting Channable MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Channable + Vercel AI SDK FAQ

Common questions about integrating Channable 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.

Connect Channable to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.