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MCP-Logic

by angrysky56

AI/Data & KnowledgeProver9Mace4Automated ReasoningTheorem ProvingLogic

MCP-Logic is an MCP server that provides automated reasoning capabilities using Prover9/Mace4 for AI systems. It enables logical theorem proving and logical model verification through a clean MCP interface.

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What is MCP-Logic?

MCP-Logic is a server designed to bridge the gap between AI systems and formal logic. It provides a robust interface to Prover9/Mace4, enabling AI systems to perform automated reasoning, knowledge validation, and logical implication verification.

How to use MCP-Logic?

To use MCP-Logic, install the prerequisites (Python 3.12+, UV package manager, Prover9/Mace4), clone the repository, install dependencies using uv pip install -e ., and configure your MCP environment to include the MCP-Logic server with the correct paths to the server and Prover9/Mace4 binaries. You can then use the provided tools like prove and check-well-formed by sending appropriate JSON requests to the server.

Key features of MCP-Logic

  • Seamless integration with Prover9 for automated theorem proving

  • Support for complex logical formulas and proofs

  • Built-in syntax validation

  • Clean MCP server interface

  • Extensive error handling and logging

  • Support for knowledge representation and reasoning about AI systems

Use cases of MCP-Logic

  • Validating AI knowledge models

  • Verifying reasoning chains

  • Formal verification of knowledge representations

  • Performing complex logical proofs with nested quantifiers and multiple premises

FAQ from MCP-Logic

What is Prover9/Mace4?

Prover9/Mace4 are automated theorem provers and model builders for first-order logic.

What is MCP?

MCP stands for Model Context Protocol, a communication protocol for AI systems.

How do I install Prover9/Mace4?

Download Prover9/Mace4 from the provided link and install it to a known location.

What Python version is required?

Python 3.12 or higher is required.

How do I run the tests?

Install pytest using uv pip install pytest and then run uv run pytest.