Anvyl MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Anvyl 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 Anvyl, 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 Anvyl MCP Server
The Anvyl MCP Server brings visibility and automation to your supply chain operations. By connecting your Anvyl account to your AI agent, you can seamlessly track production progress, manage parts and suppliers, and update critical milestones using natural language.
The Vercel AI SDK gives every Anvyl 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
- Order Visibility — List all purchase orders and drill down into specific order details to check status and quantities.
- Milestone Management — Track production and shipping milestones. Confirm completions or record delays directly from your chat.
- Supplier Coordination — Quickly retrieve supplier information and part specifications stored in Anvyl.
- Logistics Tracking — Access tracking records and logistics data for any purchase order to keep your team informed on delivery timelines.
The Anvyl 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.
How to Connect Anvyl to Vercel AI SDK via MCP
Follow these steps to integrate the Anvyl 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 10 tools from Anvyl and passes them to the LLM
Why Use Vercel AI SDK with the Anvyl MCP Server
Vercel AI SDK provides unique advantages when paired with Anvyl 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 Anvyl integration everywhere
Built-in streaming UI primitives let you display Anvyl 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
Anvyl + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Anvyl MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Anvyl in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Anvyl tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Anvyl capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Anvyl through natural language queries
Anvyl MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Anvyl to Vercel AI SDK via MCP:
confirm_milestone
Confirm a milestone for a purchase order
delay_milestone
Delay a milestone for a purchase order
get_part
Get details for a specific part
get_purchase_order
Get details for a specific purchase order
get_supplier
Get details for a specific supplier
list_logistics
List tracking records for a purchase order
list_milestones
List milestones for a purchase order
list_parts
List parts in the Anvyl account
list_purchase_orders
List Anvyl purchase orders for the team
list_suppliers
List suppliers in the Anvyl account
Example Prompts for Anvyl in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Anvyl immediately.
"List all active purchase orders."
"Check the milestones for order PO-123."
"Delay milestone 'm_456' for order PO-789 by 1 week because of raw material shortage."
Troubleshooting Anvyl MCP Server with Vercel AI SDK
Common issues when connecting Anvyl to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAnvyl + Vercel AI SDK FAQ
Common questions about integrating Anvyl 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 Anvyl 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 Anvyl to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.