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Easelly MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Infographic, Generate Image, Generate Json, and more

Built by Vinkius GDPR 6 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Easelly app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

main();
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About Easelly MCP Server

Connect your Easelly Pro account to any AI agent and take full control of your visual content creation and automated infographic workflows through natural conversation.

The Vercel AI SDK gives every Easelly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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

  • Design Orchestration — List and manage all infographics in your Easel.ly account and retrieve detailed metadata about themes and objects programmatically
  • Automated Export — Programmatically generate high-fidelity PDF, JPG, or PNG versions of your designs for immediate use in marketing or education
  • Structure Intelligence — Access the raw JSON representation of any infographic to understand layer hierarchies and content distributions programmatically
  • Dynamic Creation — Create new infographics from scratch or existing templates and update content programmatically directly through your agent
  • Visual Maintenance — Programmatically delete or update infographic metadata to maintain a clean and structured visual asset library

The Easelly MCP Server exposes 6 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.

All 6 Easelly tools available for Vercel AI SDK

When Vercel AI SDK connects to Easelly through Vinkius, your AI agent gets direct access to every tool listed below — spanning easelly, infographics-api, graphic-design, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_infographic

Create a new infographic

generate_image

Generate an image for an infographic

generate_json

Get infographic structure in JSON

generate_pdf

Generate a PDF for an infographic

list_infographics

ly account. List your infographics

update_infographic

Update an existing infographic

Connect Easelly to Vercel AI SDK via MCP

Follow these steps to wire Easelly into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 6 tools from Easelly and passes them to the LLM

Why Use Vercel AI SDK with the Easelly MCP Server

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

03

Built-in streaming UI primitives let you display Easelly 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

Easelly + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Easelly in Vercel AI SDK

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

01

"List all my infographics in Easelly."

02

"Generate a PDF version for infographic 'inf_123'."

03

"Export infographic ID 'inf_456' as a PNG image."

Troubleshooting Easelly MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Easelly + Vercel AI SDK FAQ

Common questions about integrating Easelly 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.