What is Bayesian Monte Carlo Tree Search?
Bayesian Monte Carlo Tree Search is a research that Provides a Bayesian Monte Carlo Tree Search engine for systematic exploration.. It has a Nerq Trust Score of 42/100 (E). 4 GitHub stars. Published by https://github.com/angrysky56/mcts-mcp-server. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 4 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Bayesian Monte Carlo Tree Search Does
Bayesian Monte Carlo Tree Search is a mcp_server in the research category. Provides a Bayesian Monte Carlo Tree Search engine for systematic exploration.. It is published by https://github.com/angrysky56/mcts-mcp-server and has no specified license. With 4 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Bayesian Monte Carlo Tree Search
Bayesian Monte Carlo Tree Search is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/angrysky56/mcts-mcp-server |
|---|---|
| Category | research |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=bayesian-monte-carlo-tree-search
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| gpt_academic | 61 | 70.1K |
| LlamaFactory | 80 | 67.8K |
| unsloth | 77 | 52.7K |
| storm | 59 | 27.9K |
| gpt-researcher | 64 | 25.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.