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Nyckel ML MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Nyckel ML 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 Nyckel ML, 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 Nyckel ML MCP Server

Connect your Nyckel machine learning account to your AI agent and leverage powerful automated classification and semantic search through natural conversation.

The Vercel AI SDK gives every Nyckel ML 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

  • Automated Classification — Send text or image URLs to your trained ML functions to get instant predictions and confidence scores.
  • Semantic Search — Query your search function galleries to find semantically similar samples based on input data.
  • Function Management — List all ML functions in your account and retrieve detailed configuration and metadata.
  • Training Oversight — Access the data samples used to train your functions and monitor assigned labels.
  • Sample Annotation — Upload new training samples and manually assign or update classification labels.
  • Label Discovery — Retrieve the set of all available labels and categories defined for your ML models.
  • Account Insights — Access profile and workspace metadata for your authenticated Nyckel account.

The Nyckel ML 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 Nyckel ML to Vercel AI SDK via MCP

Follow these steps to integrate the Nyckel ML 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 10 tools from Nyckel ML and passes them to the LLM

Why Use Vercel AI SDK with the Nyckel ML MCP Server

Vercel AI SDK provides unique advantages when paired with Nyckel ML 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 Nyckel ML integration everywhere

03

Built-in streaming UI primitives let you display Nyckel ML 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

Nyckel ML + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Nyckel ML MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Nyckel ML to Vercel AI SDK via MCP:

01

annotate_ml_sample

Assign label to a sample

02

create_ml_sample

Add a training sample

03

delete_ml_function

Delete an ML function

04

get_account_info

Get current account info

05

get_ml_function

Get specific function info

06

invoke_ml_function

Classify data using a function

07

list_ml_functions

) in your account. List all ML functions

08

list_ml_labels

List available labels

09

list_ml_samples

List training samples

10

semantic_search

Perform semantic search

Example Prompts for Nyckel ML in Vercel AI SDK

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

01

"Classify this text: 'The delivery was very late and the food was cold' using function ID 'func_123'."

02

"Search my product gallery for an image similar to 'https://example.com/shoe.jpg' using function 'func_search_99'."

03

"List all the machine learning functions in my Nyckel account."

Troubleshooting Nyckel ML MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Nyckel ML + Vercel AI SDK FAQ

Common questions about integrating Nyckel ML 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 Nyckel ML to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.