MCP Reasoner

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

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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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
                ID: pz4pgwvn1c