shannon-thinking
by olaservo
An MCP server implementing Claude Shannon's systematic problem-solving methodology. This server provides a tool that helps break down complex problems into structured thoughts following Shannon's approach of problem definition, mathematical modeling, and practical implementation.
Last updated: N/A
What is shannon-thinking?
This is an MCP server that implements Claude Shannon's systematic problem-solving methodology. It provides a tool to guide systematic problem-solving through stages of problem definition, constraints, model development, proof/validation, and implementation/experiment.
How to use shannon-thinking?
Install the server using npm install @modelcontextprotocol/server-shannon-thinking. The server provides a single tool named shannonthinking. Each thought must include content, type, thought number, total thoughts estimate, confidence level, dependencies, assumptions, and whether another thought step is needed. Use with an MCP client to call the tool with a thought object.
Key features of shannon-thinking
Iterative Problem-Solving
Flexible Validation
Dependency Tracking
Assumption Management
Confidence Levels
Rich Feedback
Use cases of shannon-thinking
Complex system analysis
Information processing problems
Engineering design challenges
Problems requiring theoretical frameworks
Optimization problems
Systems requiring practical implementation
Problems that need iterative refinement
Cases where experimental validation complements theory
FAQ from shannon-thinking
What is the core principle behind shannon-thinking?
What is the core principle behind shannon-thinking?
It's based on Claude Shannon's systematic approach to problem-solving, emphasizing structured thinking and iterative refinement.
What types of thoughts are supported?
What types of thoughts are supported?
The tool supports thoughts categorized as problem definition, constraints, model, proof, and implementation.
How does it handle uncertainty?
How does it handle uncertainty?
It allows you to quantify uncertainty in each step using a confidence level (0-1).
Can I revise previous steps?
Can I revise previous steps?
Yes, the tool supports revisions and rechecks of earlier steps as understanding evolves.
What kind of validation does it support?
What kind of validation does it support?
It supports both formal proofs and experimental validation.