Bunq Hackathon Agents 6.0 Dashboard

The Bunq Hackathon Agents 6.0 MCP server delivers an AI‑powered sustainability dashboard that bridges personal finance and climate impact. It tackles the common pain point of opaque spending patterns by giving users a clear, data‑driven view of where every euro goes and how that translates into CO₂ emissions. By turning raw transaction data into actionable climate insights, the server empowers developers to embed eco‑friendly financial nudges directly into their AI assistants.

At its core, the server pulls transaction history from Bunq through a lightweight SDK wrapper, classifies each purchase into intuitive categories with the help of LLMs (Gemini or OpenAI), and calculates both total emissions and a per‑euro emission metric. These metrics feed into a “sustainability zone” (Green, Yellow, Red) that instantly communicates the user’s environmental performance. The system also offers automated carbon offset transfers to a dedicated Bunq green account, closing the loop from awareness to tangible action.

Key capabilities include:

• Intelligent categorization of spending using LLM‑driven prompts, eliminating manual tagging.
• Emission estimation that translates financial activity into real‑world CO₂ units, leveraging domain‑specific LLM knowledge.
• Gamified leaderboard that ranks users by their offset-to-spend ratio, fostering friendly competition.
• Dynamic visualizations (charts, badges) built with Pandas and Matplotlib, all rendered through Streamlit for an interactive experience.
• Seamless integration with AI workflows via the MCP framework, exposing tools for data ingestion, prompt generation, and transaction execution.

Developers can harness this server to create conversational agents that answer questions like “How much did I spend on travel last month?” or “What would happen if I switched to a plant‑based diet?” The MCP interface exposes the underlying logic as reusable tools, allowing AI assistants to fetch real‑time insights, trigger offset transfers, and even generate personalized motivational messages (“You planted 3 trees!”). In enterprise settings, the dashboard can serve as a compliance layer for ESG reporting, while in consumer apps it drives behavioral change through instant feedback and rewards.

What sets this MCP apart is its holistic approach: it not only visualizes data but also automates the offset process and embeds social comparison. By combining LLM reasoning with financial APIs, it offers a turnkey solution for developers who want to embed sustainability into their AI products without building complex climate models from scratch.