Charts Visualization

This project provides a web-based service for generating and visualizing bar and pie charts from structured data using FastAPI and Altair. Charts are generated as PNG images and served via a REST API.

Features

• Generate bar and pie charts from input data

• Save charts as PNG images in a static directory

• Access generated charts via unique URLs

• Extensible with new chart types

Related MCP server: QuickChart MCP Server

Project Structure

charts_visualization/
├── requirements.txt         # Python dependencies
├── README.md                # Project documentation
├── src/
│   ├── server.py            # FastAPI server and MCP integration
│   ├── client.py            # Example client for interacting with the server
│   ├── charts/
│   │   ├── bar_chart.py     # Bar chart generation logic
│   │   ├── pie_chart.py     # Pie chart generation logic
│   │   └── __init__.py
│   └── model/
│       └── main.py          # Data models and shared logic
├── static/
│   └── charts/              # Generated chart images (PNG)

Setup

1. Clone the repository:

   git clone <repo-url>
   cd charts_visualization

2. Create a virtual environment and install dependencies:

   python3 -m venv .venv
   source .venv/bin/activate
   pip install -r requirements.txt

Running the Server

Start the FastAPI server (from the project root):

python src/server.py

Or with Uvicorn:

uvicorn src.server:app --host 0.0.0.0 --port 8000
uv run python server.py

for inspection :

 uv run mcp dev server.py

Usage

• Use the provided client (src/client.py) or send requests to the /mcp endpoint to generate charts.

• Generated charts are saved in static/charts/ and accessible via URLs like http://localhost:8000/static/charts/<chart_id>.png.

Requirements

• Python 3.9+

• FastAPI

• Uvicorn

• Altair

• (See requirements.txt for full list)

Extending

To add new chart types, implement a new function in src/charts/, register it as an MCP tool in src/server.py, and update the client as needed.

License

MIT License