How to Use the ImageCharts MCP in Mastra AI

Build reliable, multi-step reporting workflows in Mastra AI by adding ImageCharts to your agent's toolset.

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Connect ImageCharts MCP to Mastra AI

Create your Vinkius account to connect ImageCharts to Mastra AI 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 Mastra AI

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Automated charting within Mastra AI workflows

Embed visualization steps directly into your agent's logic. If your workflow processes financial data, it can trigger `generate_pie_chart` or `generate_doughnut_chart` as a final output step. This ensures your agents don't just report numbers, but provide visual context for every decision they make.

Error-resistant visual reporting

Mastra AI handles retries if a network request hangs. When you use these tools, your agent ensures that if a chart fails to render, the process tries again automatically. Use `generate_radar_chart` or `generate_polar_area_chart` to visualize complex performance metrics across your multi-step agents.

Contextual visual feedback for agents

Give your agents the ability to create quick diagrams for human review. It’s perfect for audit logs where a visual summary is more useful than a wall of text. Tools like `generate_scatter_plot` allow your agent to represent data relationships without needing a separate data science stack.

Setup guide

Set up ImageCharts MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All ImageCharts tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "imagecharts-mcp-client",
  servers: {
    "imagecharts-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "ImageCharts Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to ImageCharts tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent ImageCharts transactions"
);
console.log(result.text);

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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

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Common questions about ImageCharts MCP in Mastra AI

Import the client and spread the tools into your agent configuration. Mastra AI will handle the registration and execution automatically.

Yes. You can require human intervention before the agent calls any chart generation tool to verify the data being visualized.

Certainly. The tools are stateless and work well in complex agent chains that track state over time.

Configure your workflow to use the built-in retry logic. If the API returns a non-200 code, the agent will catch it and follow your defined fallback path.

The server only touches the specific data points you pass to the tool. Ensure you scrub any proprietary identifiers before the agent sends the data to the charting endpoint.

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