The MCP-Logic server is built with Python and integrates with Prover9/Mace4 to provide automated reasoning capabilities for AI systems through a clean MCP interface.
MCP-Logic
An MCP server providing automated reasoning capabilities using Prover9/Mace4 for AI systems. This server enables logical theorem proving and logical model verification through a clean MCP interface.
Design Philosophy
MCP-Logic bridges the gap between AI systems and formal logic by providing a robust interface to Prover9/Mace4. What makes it special:
- AI-First Design: Built specifically for AI systems to perform automated reasoning
- Knowledge Validation: Enables formal verification of knowledge representations and logical implications
- Clean Integration: Seamless integration with the Model Context Protocol (MCP) ecosystem
- Deep Reasoning: Support for complex logical proofs with nested quantifiers and multiple premises
- Real-World Applications: Particularly useful for validating AI knowledge models and reasoning chains
Features
- 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
Quick Example
Installation
Prerequisites
- Python 3.10+
- UV package manager
- Git for cloning the repository
- CMake and build tools (for building LADR/Prover9)
Setup
Clone this repository
Run the setup script: Windows run:
Linux/macOS:
The setup script:
- Checks for dependencies (git, cmake, build tools)
- Downloads LADR (Prover9/Mace4) from the external repository: laitep/LADR
- Builds the LADR library to create Prover9 binaries in the ladr/bin directory
- Creates a Python virtual environment
- Sets up configuration files for running with or without Docker
IMPORTANT: The LADR directory is not included in the repository itself and will be installed through the setup script or manually.
Using Docker- no idea if this is working right, mainly designed for direct use with Claude Desktop
If you prefer to run with Docker this script:
- Finds an available port
- Activates the virtual environment
- Runs the server with the correct paths to the installed Prover9
These scripts will build and run a Docker container with the necessary environment.
Claude Desktop Integration
To use MCP-Logic with Claude Desktop, use this configuration:
Replace "/path/to/mcp-logic" with your actual repository path.
Available Tools
prove
Run logical proofs using Prover9:
check-well-formed
Validate logical statement syntax:
Documentation
See the Documents folder for detailed analysis and examples:
- Knowledge to Application: A formal logical analysis of understanding and practical application in AI systems
Project Structure
Note: After running setup-script.sh, a "ladr" directory will be created containing the Prover9 binaries, but this directory is not included in the repository itself.
Development
Run tests:
License
MIT
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
MCP-Logic is a server that provides AI systems with automated reasoning capabilities, enabling logical theorem proving and model verification using Prover9/Mace4 through a clean MCP interface.
- Design Philosophy
- Features
- Quick Example
- Installation
- Available Tools
- Documentation
- Project Structure
- Development
- License
Related Resources
Related MCP Servers
- AsecurityAlicenseAqualityA Model Context Protocol server that enables AI assistants to interact with Linear project management systems, allowing users to retrieve, create, and update issues, projects, and teams through natural language.Last updated -3264994TypeScriptMIT License
- AsecurityAlicenseAqualityA sophisticated MCP server that provides a multi-dimensional, adaptive reasoning framework for AI assistants, replacing linear reasoning with a graph-based architecture for more nuanced cognitive processes.Last updated -11526TypeScriptMIT License
- AsecurityAlicenseAqualityA Model Context Protocol (MCP) server implementation for the Didlogic API. This server allows Large Language Models (LLMs) to interact with Didlogic services through a standardized interface.Last updated -221PythonMIT License
- -securityFlicense-qualityAn advanced MCP server that implements sophisticated sequential thinking using a coordinated team of specialized AI agents (Planner, Researcher, Analyzer, Critic, Synthesizer) to deeply analyze problems and provide high-quality, structured reasoning.Last updated -221Python