Install
$ agentstack add mcp-jacck-mcp-reasoner ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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 mcts method. 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)
Installation
git clone https://github.com/frgmt0/mcp-reasoner.git
OR clone the original:
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"],
}
}
}
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](LICENSE) file for details.
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Jacck
- Source: Jacck/mcp-reasoner
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.