A
securityA
licenseA
qualityA systematic reasoning MCP server implementation for Claude Desktop with beam search and thought evaluation capabilities
Last updated -
1
239
TypeScript
MIT License
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
Related MCP Servers
- AsecurityAlicenseAqualityAn MCP server that enables Claude to perform web searches using Perplexity's API with intelligent model selection based on query intent and support for domain and recency filtering.Last updated -61JavaScriptMIT License
- -securityAlicense-qualityAn MCP server that implements the 'think' tool, providing Claude with a dedicated space for structured thinking during complex problem-solving tasks to improve reasoning capabilities.Last updated -122PythonMIT License
- -securityFlicense-qualityAn MCP server that integrates with Claude to provide smart documentation search capabilities across multiple AI/ML libraries, allowing users to retrieve and process technical information through natural language queries.Last updated -Python