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metadata 
title: Data360-MCP Visualization Engine Explorer
emoji: 📊
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false

Data360-MCP Visualization Engine Explorer

This repository contains the deployment configuration for hosting the Data360-MCP Visualization Engine Explorer in Hugging Face Spaces.

🚀 Deployment Instructions

1. Create a Hugging Face Space

  • Go to Hugging Face Spaces and click Create new Space.
  • Name the Space (e.g. data360-mcp-explorer).
  • Select Docker as the SDK.
  • Choose Blank template.

2. Configure Repository Secrets & Environment Variables

In your Space settings page, add the following under Repository secrets:

  • OPENAI_API_KEY: Required for natural query question framing and running vision-based chart audits.
  • HF_TOKEN: Your Hugging Face write access token (required to pull/push persistent data).

Under Variables:

  • HF_DATASET_ID: Set to rafmacalaba/data360-explorer-reports (defaults to this if not set).

3. Sync Repository Files

Add the Hugging Face Space remote and push the branch:

# Add the remote and push
git remote add space https://huggingface.co/spaces/rafmacalaba/data360-mcp-explorer
git push space main

The Space will automatically build the container using the provided Dockerfile and boot the server on port 7860.