Z3 Theorem Prover with Functional Programming
by javergar
A Python implementation of abstractions over the Z3 Theorem Prover capabilities using functional programming principles. It exposes its capabilities through a Model Context Protocol (MCP) server.
Last updated: N/A
What is Z3 Theorem Prover with Functional Programming?
This project demonstrates how to use the Z3 Theorem Prover with a functional programming approach to solve complex constraint satisfaction problems and analyze relationships between entities. It leverages the returns library for functional programming abstractions and exposes its capabilities through an MCP server.
How to use Z3 Theorem Prover with Functional Programming?
To use this server, first install the dependencies using uv pip install -e .. Then, you can run the examples using python -m z3_poc.examples.main or start the MCP server using python -m z3_poc.server.main. To integrate with Claude/Cline, configure the settings.json file in VSCode with the provided server configuration.
Key features of Z3 Theorem Prover with Functional Programming
Constraint Satisfaction Problems
Relationship Analysis
Functional Programming
MCP Server
Use cases of Z3 Theorem Prover with Functional Programming
N-Queens Problem
Family Relationship Inference
Temporal Reasoning with Causal Relationships
Cryptarithmetic Puzzle (SEND + MORE = MONEY)
FAQ from Z3 Theorem Prover with Functional Programming
What is the Z3 Theorem Prover?
What is the Z3 Theorem Prover?
Microsoft's theorem prover for constraint solving.
What is Returns?
What is Returns?
A functional programming library for monadic operations and error handling.
What is Pydantic used for?
What is Pydantic used for?
Data validation and serialization.
What is FastMCP?
What is FastMCP?
Implementation of the Model Context Protocol.
How do I contribute to this project?
How do I contribute to this project?
Contributions are welcome! Please feel free to submit a Pull Request.