MCP Reasoner

MCP Reasoner is an MCP server that provides advanced search-based reasoning algorithms to language models such as Claude Desktop. It connects host applications to algorithmic reasoning engines including Beam Search and Monte Carlo Tree Search (MCTS), along with experimental variations utilizing A* search and bidirectional search. Developers, researchers, and engineers use it to help language models evaluate multiple lines of thought when tackling complex logic problems, code design, or multi-step analysis. By exposing configurable parameters such as beam width and simulation counts, the server enables the language model to track the quality of different reasoning paths, visualize alternative trajectories, and analyze the steps taken before returning a final conclusion. This structured approach allows hosts to escape straightforward greedy generation, systematically exploring decision spaces to find higher-quality solutions.

Category: AI & LLM Tooling

Tags: agent-framework, beam-search, monte-carlo-tree-search, reasoning

Visit MCP Reasoner

How to install and configure MCP Reasoner

1. Clone the repository locally: bash git clone https://github.com/Jacck/mcp-reasoner.git cd mcp-reasoner 2. Install dependencies and compile the server: bash npm install npm run build 3. Add the server to your Claude Desktop configuration file under mcpServers: json { "mcpServers": { "mcp-reasoner": { "command": "node", "args": ["path/to/mcp-reasoner/dist/index.js"] } } } 4. Replace path/to/mcp-reasoner/dist/index.js with your absolute system path and restart Claude Desktop.

What you can do with MCP Reasoner

• Solving multi-step mathematical and logic puzzles by systematically mapping and scoring alternative paths using Monte Carlo Tree Search. * Evaluating software architecture decisions with Beam Search to weigh trade-offs across multiple implementation branches. * Navigating complex algorithmic problems using experimental A* search combined with the policy simulation layer. * Running bidirectional search reasoning to analyze scenarios that require reconciling an end goal with initial conditions. * Tuning exploration parameters like beam width and simulation counts dynamically during lengthy analytical queries.

Key facts

• https://github.com/Jacck/mcp-reasoner
• AI & LLM Tooling
• agent-framework, beam-search, monte-carlo-tree-search, reasoning

Part of MCP Servers

What is MCP Reasoner?

MCP Reasoner is a Model Context Protocol server that supplies external reasoning engines to AI assistants like Claude Desktop. It provides tree and path exploration methods, specifically Beam Search and Monte Carlo Tree Search, allowing models to evaluate alternative thoughts before finalizing an answer.

Which reasoning algorithms are available in MCP Reasoner?

The server includes standard Beam Search for straightforward reasoning and standard Monte Carlo Tree Search for complex decisions. It also introduces experimental alpha algorithms like mcts-002-alpha, which uses A* search with a policy simulation layer, and mcts-002alt-alpha, which uses bidirectional search.

How do I configure search parameters in MCP Reasoner?

Claude and other MCP clients can adjust parameters directly through the tool interface. Configurable controls include beamWidth to specify how many simultaneous reasoning paths to track between 1 and 10, and numSimulations to adjust Monte Carlo simulations between 1 and 150.

Which MCP clients work with MCP Reasoner?

MCP Reasoner works with Claude Desktop and any other MCP-compliant client that supports standard input/output node-based process execution and local tool calling.

Is MCP Reasoner open source?

Yes, MCP Reasoner is open-source software licensed under the MIT License. The code is available for review, modification, and fork on its GitHub repository.