How to Use the ImageCharts MCP in OpenAI Agents SDK

Generate on-the-fly charts inside your OpenAI Agents SDK production pipelines with zero manual formatting.

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Connect ImageCharts MCP to OpenAI Agents SDK

Create your Vinkius account to connect ImageCharts to OpenAI Agents 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 OpenAI Agents SDK

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Build Visual Reports inside OpenAI Agents SDK

The ImageCharts MCP Server integration allows your OpenAI Agents SDK to build visual data assets on demand. When your production agent detects a trend, it immediately calls `generate_line_chart` or `generate_bar_chart` to render a clean PNG directly within your OpenAI runtimes. This setup avoids the need to configure heavy local plotting tools inside your OpenAI Agents SDK runtime. Because these tools run via an MCP Server, your OpenAI Agent auto-discovers the schema with zero manual mapping. If a user asks for progress, the agent routes the request to the charting tools and returns a raw image URL that works in any OpenAI chat interface.

Enforce Strict Visual Guardrails

This ImageCharts toolset lets you trace every chart generation request directly inside your OpenAI dashboard. If an agent tries to output a faulty chart, the OpenAI Agents SDK catches the bad parameters before executing `generate_pie_chart` or `generate_doughnut_chart`. You get complete visibility into the exact parameters your OpenAI models send to the rendering engine. This tracing prevents hallucinated data points from reaching your users through the OpenAI interface. The system validates the inputs so that your automated OpenAI reports remain clean and accurate.

Instant Distribution with QR Codes

Generating physical touchpoints is simple when your OpenAI Agents SDK invokes the `generate_qr_code` tool. This lets your agent convert deep links or report locations into scannable images on the fly. Your OpenAI workflow can instantly bridge digital outputs with physical access codes. This capability works alongside tools like `generate_radar_chart` to build complete summaries inside your OpenAI agent feeds. The MCP Server handles the conversion, and your users get a scannable code right in their chat thread.

Setup guide

Set up ImageCharts MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ImageCharts tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ImageCharts tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ImageCharts tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ImageCharts Agent",
            instructions="You have access to ImageCharts tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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.

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Common questions about ImageCharts MCP in OpenAI Agents SDK

Install the SDK and register the MCP Server using the streamable HTTP class. Pass the server instance inside the server list when initializing your OpenAI agent, and the tools will auto-discover instantly.

Yes. The server handles concurrent requests by offloading the heavy rendering to the managed Vinkius infrastructure. Your OpenAI python agents simply invoke `generate_scatter_plot` or `generate_bubble_chart` and receive lightweight URLs back.

You can control tool access by configuring your agent's system prompt or filtering the tool definitions before passing them to the agent constructor. This ensures your OpenAI agent only calls `generate_venn_diagram` or `generate_polar_area_chart` when authorized.

Set the tool caching parameter to true in your server configuration to avoid redundant discovery calls. This speeds up OpenAI agent execution times significantly when generating multiple visual reports.

Your raw chart numbers and labels are sent as URL parameters to the rendering engine. Vinkius handles this transport over encrypted HTTPS channels, and the parameters are never stored on disk after the image renders.

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