Chart Generator MCP server
About
An MCP server for generating statistical graphics.
Details
- Author
- Austin-TB
- GitHub stars
- 1
- Downloads
- 161
- Categories
- Developer Tools
Jump to
- Generates charts from natural language input
- Built with the MCP Python SDK
- Uses QuickChart.io for chart rendering
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Chart Generator MCP serverCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install uv, create and activate a virtual environment, then add dependencies (fastapi, mcp[cli], quickchart.io). Configure the server in your MCP client by adding an entry with the uv command pointing to the charts.py script, using the absolute path to the directory.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"chart generator mcp server": {
"charts": {
"command": "uv",
"args": [
"--directory",
"ABSOLUTE_PATH_TO/charts",
"run",
"charts.py"
]
}
}
}
}McpServers
{
"charts": {
"command": "uv",
"args": [
"--directory",
"ABSOLUTE_PATH_TO/charts",
"run",
"charts.py"
]
}
}Chart Generator MCP server
An MCP server that generates charts based on input data.Status
🚧 In Development 🚧Features
- Generates charts dynamically based on provided input data (natural language). - Built using MCP Python SDK.Usage
- Installuv
- inside the directory run uv venv
- activate this virtual environment
- run uv add fastapi "mcp[cli]" quickchart.io
- in the mcp client,
- add this to the mcp servers list
``
"charts": {
"command": "uv",
"args": [
"--directory",
ABSOLUTE_PATH_TO/charts",
"run",
"charts.py"
]
}
``
---
Stay tuned for updates!Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
