The MCP Reasoner server provides advanced reasoning capabilities for Claude Desktop through multiple strategies:
Utilize either Beam Search or Monte Carlo Tree Search (MCTS) for different complexity levels
Process sequential reasoning steps with thought tracking (thoughtNumber, totalThoughts, nextThoughtNeeded)
Solve mathematical problems and logical puzzles through step-by-step analysis
Analyze complex decision spaces and optimize strategies
Evaluate thoughts based on mathematical expressions and logical connectors
Manage tree-based reasoning paths with statistical monitoring
Select reasoning strategy via input parameters
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
Configuration
Add to Claude Desktop config:
Search Strategies
Beam Search
- Maintains fixed-width set of most promising paths
- Optimal for step-by-step reasoning
- Best for: Mathematical problems, logical puzzles
Monte Carlo Tree Search
- 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
- Search Strategy Selection
- Beam Search: Evaluates and ranks multiple solution paths
- MCTS: Uses UCT for node selection and random rollouts
- Thought Scoring Based On:
- Detail level
- Mathematical expressions
- Logical connectors
- Parent-child relationship strength
- 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.
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.
- Features
- Installation
- Configuration
- Search Strategies
- Algorithm Details
- Use Cases
- Future Implementations
- License
Related Resources
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