The MCP Reasoner server provides advanced reasoning capabilities for Claude Desktop with configurable search strategies and parameters.
Multiple reasoning strategies: Choose from Beam Search, Monte Carlo Tree Search (MCTS), and experimental MCTS variations (
mcts_002_alpha,mcts_002_alt_alpha).Customizable parameters:
beamWidth: Control number of reasoning paths (1-10, default: 3)numSimulations: Specify MCTS simulation runs (1-150, default: 50)
Reasoning management:
Track individual thoughts with
thought,thoughtNumber, andtotalThoughtsDetermine if more reasoning steps are needed with
nextThoughtNeeded
Enhanced problem-solving: Optimized for complex scenarios using adaptive algorithms
Process analysis: Map and analyze different reasoning paths
MCP Reasoner
A reasoning implementation for Claude Desktop that lets you use both Beam Search and Monte Carlo Tree Search (MCTS). tbh this started as a way to see if we could make Claude even better at complex problem-solving... turns out we definitely can.
Current Version:
v2.0.0
What's New:
Added 2 Experimental Reasoning Algorithms:
- `mcts-002-alpha` - Uses the A* Search Method along with an early *alpha* implementation of a Policy Simulation Layer - Also includes an early *alpha* implementation of Adaptive Exploration Simulator & Outcome Based Reasoning Simulator *NOTE* the implementation of these alpha simulators is not complete and is subject to change - `mcts-002alt-alpha` - Uses the Bidirectional Search Method along with an early *alpha* implementation of a Policy Simulation Layer - Also includes an early *alpha* implementation of Adaptive Exploration Simulator & Outcome Based Reasoning Simulator *NOTE* the implementation of these alpha simulators is not complete and is subject to change
What happened to mcts-001-alpha and mcts-001alt-alpha?
Quite simply: It was useless and near similar to the base
mctsmethod. After initial testing the results yielded in basic thought processes was near similar showing that simply adding policy simulation may not have an effect.
So why add Polciy Simulation Layer now?
Well i think its important to incorporate Policy AND Search in tandem as that is how most of the algorithms implement them.
Previous Versions:
v1.1.0
Added model control over search parameters:
beamWidth - lets Claude adjust how many paths to track (1-10)
numSimulations - fine-tune MCTS simulation count (1-150)
Features
Two search strategies that you can switch between:
Beam search (good for straightforward stuff)
MCTS (when stuff gets complex) with alpha variations (see above)
Tracks how good different reasoning paths are
Maps out all the different ways Claude thinks through problems
Analyzes how the reasoning process went
Follows the MCP protocol (obviously)
Related MCP server: MCP Think Tool
Installation
Configuration
Add to Claude Desktop config:
Testing
[More Testing Coming Soon]
Benchmarks
[Benchmarking will be added soon]
Key Benchmarks to test against:
MATH500
GPQA-Diamond
GMSK8
Maybe Polyglot &/or SWE-Bench
License
This project is licensed under the MIT License - see the LICENSE file for details.