A
securityA
licenseA
qualityAn MCP server for generating customizable data visualizations using QuickChart.io, supporting multiple chart types and Chart.js configuration.
Last updated -
2
386
153
MIT License
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
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
Clone the repository:
git clone <repo-url> cd charts_visualizationCreate 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/mcpendpoint to generate charts.Generated charts are saved in
static/charts/and accessible via URLs likehttp://localhost:8000/static/charts/<chart_id>.png.
Requirements
Python 3.9+
FastAPI
Uvicorn
Altair
(See
requirements.txtfor 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
This server cannot be installed
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