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MCP Reasoner

by parmarjh
GitHub
TypeScript
MIT License
8
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Integrations

  • Mentioned specifically as a benchmark where the MCTS strategy helped Claude perform well, scoring 6/10 on the public test versus 3/10 with beam search

MCP Reasoner

A systematic reasoning MCP server implementation for Claude Desktop featuring both Beam Search and Monte Carlo Tree Search (MCTS) capabilities.

Features

  • Dual search strategies:
    • Beam search with configurable width
    • MCTS for complex decision spaces
  • Thought scoring and evaluation
  • Tree-based reasoning paths
  • Statistical analysis of reasoning process
  • MCP protocol compliance

Installation

git clone https://github.com/Jacck/mcp-reasoner.git cd mcp-reasoner npm install npm run build

Configuration

Add to Claude Desktop config:

{ "mcpServers": { "mcp-reasoner": { "command": "node", "args": ["path/to/mcp-reasoner/dist/index.js"], } } }

Search Strategies

  • Maintains fixed-width set of most promising paths
  • Optimal for step-by-step reasoning
  • Best for: Mathematical problems, logical puzzles
  • Simulation-based exploration of decision space
  • Balances exploration and exploitation
  • Best for: Complex problems with uncertain outcomes

Note: Monte Carlo Tree Search allowed Claude to perform really well on the Arc AGI benchmark (scored 6/10 on the public test), whereas beam search yielded a (3/10) on the same puzzles. For super complex tasks, you'd want to direct Claude to utilize the MCTS strategy over the beam search.

Algorithm Details

  1. Search Strategy Selection
    • Beam Search: Evaluates and ranks multiple solution paths
    • MCTS: Uses UCT for node selection and random rollouts
  2. Thought Scoring Based On:
    • Detail level
    • Mathematical expressions
    • Logical connectors
    • Parent-child relationship strength
  3. Process Management
    • Tree-based state tracking
    • Statistical analysis of reasoning
    • Progress monitoring

Use Cases

  • Mathematical problems
  • Logical puzzles
  • Step-by-step analysis
  • Complex problem decomposition
  • Decision tree exploration
  • Strategy optimization

Future Implementations

  • Implement New Algorithms
    • Iterative Deepening Depth-First Search (IDDFS)
    • Alpha-Beta Pruning

License

This project is licensed under the MIT License - see the LICENSE file for details.

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security – no known vulnerabilities
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license - permissive license
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quality - confirmed to work

Tools

A systematic reasoning MCP server for Claude Desktop, featuring Beam Search and Monte Carlo Tree Search to facilitate complex problem-solving and decision-making processes.

  1. Features
    1. Installation
      1. Configuration
        1. Search Strategies
          1. Beam Search
          2. Monte Carlo Tree Search
        2. Algorithm Details
          1. Use Cases
            1. Future Implementations
              1. License

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