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MCTS MCP Server

@angrysky56

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

angrysky56

关于 MCTS MCP Server

Bayesian MCTS Model Context Protocol Server allowing Claude to control Ollama local models for Advanced MCTS and analysis.

#ai#mcts#bayesian#claude#mcp-server

MCTS MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcts-mcp-server": {
      "command": "python",
      "args": [
        "setup.py"
      ]
    }
  }
}

MCTS MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCTS MCP Server?

The MCTS MCP Server is a Model Context Protocol server that exposes an Advanced Bayesian Monte Carlo Tree Search (MCTS) engine for AI-assisted analysis and reasoning. It enables AI assistants like Claude to systematically explore different angles and interpretations of a topic, question, or text input using a probabilistic MCTS algorithm.

How to use MCTS MCP Server?

Install via the automatic setup script (python setup.py) or manually using UV. Configure API keys in a .env file and add the server’s configuration to Claude Desktop’s config file. Once set up, the AI assistant can call tools like initialize_mcts, run_mcts, generate_synthesis, and set_active_llm to perform deep analysis.

Key features of MCTS MCP Server

  • Bayesian MCTS: balances exploration vs. exploitation probabilistically
  • Multi-iteration analysis with multiple simulations per iteration
  • State persistence across chat turns
  • Approach taxonomy classifying thoughts into philosophical families
  • Thompson sampling or UCT for node selection
  • Surprise detection for novel analysis directions

Use cases of MCTS MCP Server

  • Deep analysis of complex topics or questions
  • Exploring multiple interpretations of a text input
  • Iterative reasoning with state persistence across chat turns
  • Comparing analytical pathways generated by different MCTS configurations
  • Using local or cloud LLMs to drive MCTS analysis

常见问题

1

What runtime and dependencies are required?

Python 3.10+ and the UV package manager. Dependencies are installed automatically by the setup script.

2

How do I obtain and configure API keys?

Edit the `.env` file created during setup with your API keys for OpenAI, Anthropic, and/or Google Gemini. For Ollama, no API key is needed.

3

Does the MCTS server call the LLM directly?

No. The server uses a local inference approach; it does not call the LLM directly. It provides tools that the AI assistant (e.g., Claude) calls to perform MCTS analysis.

4

What should I do if Claude Desktop does not detect the server?

Verify the config file location and syntax, ensure paths are absolute and correct, restart Claude Desktop completely, and check Claude Desktop logs

评论

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