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

Related MCP server: Perplexity MCP Server

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

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