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:
What happened to
mcts-001-alpha and mcts-001alt-alpha?Quite simply: It was useless and near similar to the basemctsmethod. 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:
- 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)
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.
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:
What happened to
mcts-001-alpha and mcts-001alt-alpha?Quite simply: It was useless and near similar to the basemctsmethod. 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:
- 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)
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.