How to Use the Image-Charts MCP in OpenAI Agents SDK

Q: Can I pass custom QR code data to the rendering endpoint?

Yes, you can feed any raw text or URL into renderchartpost to get a clean QR code. The SDK translates this directly into a Base64 string for immediate use at the MCP endpoint.

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Connect Image-Charts MCP to OpenAI Agents SDK

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Setup Image-Charts with OpenAI Agents SDK

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Build direct visual pipelines via the OpenAI Agents SDK

Use `generate_chart_url` to get instant, lightweight chart links for your OpenAI Agents SDK workflows when your data stays under the 2KB limit. Don't waste time writing custom rendering logic; this tool gives your OpenAI agent a direct path to turn raw JSON arrays into clean image URLs. Your OpenAI Agents SDK system can drop these Image-Charts URLs straight into Slack payloads or email notifications. Because this SDK manages agent state, you can pass these chart URLs between specialized agents during handoffs without losing the visual context. It just works.

Handle large datasets with secure Base64 rendering

The `render_chart_post` tool handles datasets that exceed the 2KB URL limit by returning a Base64-encoded image string directly to your OpenAI Agents SDK agent. This prevents broken links when you feed massive telemetry tables or nested financial charts from your OpenAI pipeline into the rendering engine. Since the OpenAI Agents SDK supports strict runtime tracing, you can monitor exactly how much data your agent passes to this Image-Charts POST endpoint via the MCP Server. The returned Base64 string can be saved to disk or pushed to an S3 bucket immediately.

Auto-discover chart tools in your OpenAI pipeline

The `generate_chart_url` tool integrates directly into your agent's system prompt as soon as you spin up the MCP connection in the OpenAI Agents SDK. You don't have to map parameters manually; the SDK inspects the Image-Charts schema and lets the agent build bar charts on the fly. This setup keeps your production OpenAI agent code clean. You register the MCP Server once, and your OpenAI Agents SDK agents gain the ability to visualize their own execution traces or performance logs using Image-Charts without extra boilerplate.

Setup guide

Set up Image-Charts 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 Image-Charts tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Image-Charts 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="Image-Charts Agent",
            instructions="You have access to Image-Charts 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 Image-Charts. 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 Image-Charts MCP in OpenAI Agents SDK

Install the SDK, then pass the Vinkius MCP Server HTTP endpoint into your Streamable HTTP parameters. The SDK auto-discovers both rendering tools, making them instantly available to your agents.

Yes, your agent evaluates the payload size before choosing a tool. It uses `generate_chart_url` for quick, lightweight links and switches to `render_chart_post` when the data payload goes over the 2KB limit.

The SDK catches API timeouts or malformed chart requests through its built-in execution tracing. If Image-Charts returns an error, the agent can inspect the payload and retry with corrected data parameters.

Yes, you can feed any raw text or URL into `render_chart_post` to get a clean QR code. The SDK translates this directly into a Base64 string for immediate use at the MCP endpoint.

No, the server processes your raw business metrics on the fly to generate the image, then immediately discards the input. Vinkius runs this server inside an isolated, zero-trust sandbox, ensuring your business metrics never persist in any database.

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