How to Use the Image-Charts MCP in AutoGen

Q: Can a critic agent validate the Image-Charts output in AutoGen?

Yes. A critic agent can inspect the parameters sent to generatecharturl to ensure the formatting matches your design guidelines.

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Connect Image-Charts MCP to AutoGen

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Setup Image-Charts with AutoGen

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Multi-Agent Chart Optimization

The `generate_chart_url` tool gives your AutoGen agents the ability to produce instant visual links during their group chats. One agent can draft the data, while another uses this tool to build the visual URL. If the layout doesn't look right, a critic agent can analyze the URL parameters and request a new one. They collaborate until the visual matches their shared goal.

Payload Negotiation for Large Charts

The `render_chart_post` tool allows AutoGen agents to handle massive datasets without risking URL truncation. A performance agent might push for a quick URL, but a security or data agent will insist on the POST tool for integrity. This debate ensures your system never sends broken image links to the user. The agents settle on the Base64 output when the dataset exceeds the 2KB limit.

Collaborative Visualization via MCP Server

The `generate_chart_url` tool lets a specialized AutoGen visualization agent present clear results to the rest of the group. Integrating this MCP Server into your AutoGen workflow lets agents coordinate complex data visualization tasks. One agent can focus on gathering the metrics, while the visualization specialist agent calls the tool to present the final decision to the user.

Setup guide

Set up Image-Charts MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Image-Charts tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Image-Charts_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Image-Charts data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Image-Charts_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Image-Charts data")
    print(result.messages[-1].content)

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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 AutoGen

They negotiate based on data size. If the payload is under 2KB, they use `generate_chart_url`; otherwise, they call `render_chart_post`.

Yes. A critic agent can inspect the parameters sent to `generate_chart_url` to ensure the formatting matches your design guidelines.

You register the tools with your AssistantAgent using the AutoGen MCP extension and point it to your Vinkius endpoint.

No. The AutoGen MCP adapter handles the schema translation automatically, so the tools work right out of the box.

Your business metrics are processed in a highly secure, ephemeral V8 isolate. No data is cached or stored after the chart is rendered.

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