ChannelApe 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 ChannelApe 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 ChannelApe, 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 ChannelApe MCP Server
Connect your ChannelApe business account to any AI agent and orchestrate your e-commerce operations through natural conversation. Streamline inventory management and order fulfillment across multiple channels.
The Vercel AI SDK gives every ChannelApe 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 sales channels natively
- Catalog Oversight — Access and monitor your product catalog, including detailed SKU metadata flawlessly
- Inventory Synchronization — List and audit inventory levels across various distribution centers securely
- Channel Management — List all connected sales channels and monitor their operational status in real-time
- Supplier Logistics — Access information on integrated suppliers and vendors to manage sourcing flawlessly
- Business Intelligence — Retrieve core business profile data and settings directly within your workspace
The ChannelApe 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 ChannelApe to Vercel AI SDK via MCP
Follow these steps to integrate the ChannelApe 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 ChannelApe and passes them to the LLM
Why Use Vercel AI SDK with the ChannelApe MCP Server
Vercel AI SDK provides unique advantages when paired with ChannelApe 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 ChannelApe integration everywhere
Built-in streaming UI primitives let you display ChannelApe 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
ChannelApe + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ChannelApe MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ChannelApe in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ChannelApe tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ChannelApe capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ChannelApe through natural language queries
ChannelApe MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect ChannelApe to Vercel AI SDK via MCP:
get_ape_business_info
Retrieve business profile and settings
get_ape_order_details
Get detailed information for a specific order
get_ape_product_details
Get details for a specific product
list_ape_channels
List connected sales channels
list_ape_inventory
List inventory levels across distribution centers
list_ape_orders
List orders associated with the business
list_ape_products
List products in the business catalog
list_ape_suppliers
List integrated suppliers and vendors
Example Prompts for ChannelApe in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ChannelApe immediately.
"List all active sales channels in ChannelApe."
"What is the current stock for product 'WIDGET-123'?"
"Show me the last 5 orders received today."
Troubleshooting ChannelApe MCP Server with Vercel AI SDK
Common issues when connecting ChannelApe to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChannelApe + Vercel AI SDK FAQ
Common questions about integrating ChannelApe 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 ChannelApe 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 ChannelApe to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.