Is there a built-in tool for data visualization?

[lanbaoshen]

MCP Atlassian can now collect a lot of data. It would be great if we could add some simple code to implement visualization. I’ve encapsulated such a method in my project:

def save_echarts_chart(self, html: str) -> str:
    """
    Save echarts chart to file and return the url.

    Args:
        html: Echarts html content

    Returns:
        Path of the saved chart
    """
    path = settings.CHARTS_FOLDER / f'{time.strftime('%Y-%m-%d', time.localtime())}-{uuid4()}.html'
    with open(path, 'w') as f:
        f.write(html)
    return path

Through the method’s comment, utilizing the model's general capabilities, the Echarts chart can be generated.

[cutekibry]

In my opinion it would be too much for mcp-atlassian to provide a full EChart function.

Although we have some libraries like pyechart, but in most cases you need enormous different types of charts of different data. Even Pandas only supports Matplotlib and not EChart.

[sooperset]

I agree with @cutekibry. adding full visualization capabilities would likely be too heavy for mcp-atlassian. 🤔