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MCTS MCP Server

@angrysky56

Repository

Basic information

Category

AI & Agents

License

MIT

Transports

stdio

Author

angrysky56

About 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 config

Add this server to your MCP-compatible client using the configuration below.

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

MCTS MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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

Comments

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