How to Use the ImageCharts MCP in Vercel AI SDK

Stream real-time data visualizations directly into your React or Next.js frontends using ImageCharts and the Vercel AI SDK.

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Connect ImageCharts MCP to Vercel AI SDK

Create your Vinkius account to connect ImageCharts to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup ImageCharts with Vercel AI SDK

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Instant visual rendering with the AI SDK

Stop waiting for heavy charting libraries to load in the browser. This MCP Server pipes image URLs directly into your components, letting the AI generate visuals that appear the moment the data is ready. Your app handles the stream, and the `generate_line_chart` or `generate_bar_chart` tools handle the rendering math. It keeps your bundle size tiny.

Dynamic chart generation for user interfaces

Feed your raw data into the tools and get back a clean image link. It works perfectly for dashboards that need to show trends without the overhead of client-side canvas manipulation. Use `generate_scatter_plot` or `generate_bubble_chart` to give your users immediate insight into their datasets. The AI client manages the connection, and the chart hits your state management instantly.

Automated asset creation

Need to generate a QR code or a quick diagram on the fly? This MCP Server turns text input into visual assets that you can inject into any UI element. Tools like `generate_qr_code` and `generate_venn_diagram` remove the need for manual design work. Your interface updates dynamically based on the AI response.

Setup guide

Set up ImageCharts MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all ImageCharts tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent ImageCharts transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ImageCharts. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ImageCharts MCP in Vercel AI SDK

Install the SDK dependencies and initialize the client via HTTP. Once connected, your agent can call the chart tools directly within your stream.

Yes. The server is lightweight and functions perfectly in edge environments, ensuring your image generation remains fast and responsive.

Absolutely. Because the tools return URLs, your frontend can render the image as soon as the text stream completes the tool call.

The AI client receives an error message instead of a URL. You should implement basic error handling in your component to show a fallback state.

The tools process data into visual parameters. Only sanitize sensitive numbers before sending them to the server to ensure your raw data stays private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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