# KZ

- **Event:** [Mistral AI MCP Hackathon](https://cerebralvalley.ai/e/mistral-mcp-hackathon)
- **When:** Sep 13 at 9:00 AM – Sep 14 at 5:00 PM (GMT+2)
- **Where:** 2 Rue des Mathurins, Paris, France
- **Team:** [Alim Gumran](https://cerebralvalley.ai/u/gumran)
- **GitHub:** https://github.com/gumran/mcp-server-template-python
- **Demo video:** https://youtu.be/Hvd4IgcNFW4
- **Gallery:** https://cerebralvalley.ai/e/mistral-mcp-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mistral-mcp-hackathon/hackathon/gallery/5

My project implements Monte Carlo Tree Search - a general inference-time compute technique that has been shown to produce better-quality LLM responses, especially to challenging questions. It can be used with any query. Inspired by the paper https://arxiv.org/pdf/2503.04412

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Markdown version of https://cerebralvalley.ai/e/mistral-mcp-hackathon/hackathon/gallery/5. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt
