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
318
149
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
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Enables generation and visualization of bar and pie charts from structured data using FastAPI and Altair. Charts are saved as PNG images and served via REST API endpoints with unique URLs.
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