FOL Prover MCP Server

FOL Prover MCP Server

An MCP server for first-order logic theorem proving supporting multiple provers like Vampire, E, and Prover9, with built-in simple prover, session management, and TPTP export.

Category
Visit Server

README

FOL Prover MCP Server

An MCP (Model Context Protocol) server for First-Order Logic theorem proving using Vampire, E, and Prover9.

Features

  • Multiple Provers: Support for Vampire, E (eprover), Prover9, and built-in simple prover
  • Built-in Prover: Simple resolution-based prover requires no external installation
  • FOL Parsing: Parse and validate first-order logic formulas with Unicode notation
  • Session Management: Build proofs incrementally with named sessions
  • TPTP Export: Convert problems to standard TPTP format
  • Automatic Fallback: Try multiple provers if one fails

Installation

Prerequisites

The server includes a built-in simple prover that works without any external installation. For more complex proofs, install one of the following theorem provers:

Vampire (recommended):

# Linux (Ubuntu/Debian)
sudo apt-get install vampire

# macOS (with Homebrew)
brew install vampire

# Or download from: https://github.com/vprover/vampire

E Prover:

# Linux (Ubuntu/Debian)
sudo apt-get install eprover

# macOS
brew install eprover

# Or download from: https://wwwlehre.dhbw-stuttgart.de/~sschulz/E/E.html

Prover9:

# Download from: https://www.cs.unm.edu/~mccune/prover9/

Install the MCP Server

pip install folprover-mcp

Or install from source:

git clone https://github.com/folprover-mcp/folprover-mcp
cd folprover-mcp
pip install -e .

Configuration

Add to your MCP client configuration:

Claude Desktop

Add to ~/.config/claude/claude_desktop_config.json (Linux/macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "folprover": {
      "command": "folprover-mcp"
    }
  }
}

VS Code with Continue

Add to your Continue configuration:

{
  "mcpServers": {
    "folprover": {
      "command": "folprover-mcp"
    }
  }
}

Usage

FOL Notation

The server supports standard FOL notation with Unicode operators:

Symbol Meaning Example
Universal quantifier ∀x P(x)
Existential quantifier ∃x P(x)
Conjunction (AND) P(x) ∧ Q(x)
Disjunction (OR) P(x) ∨ Q(x)
Implication P(x) → Q(x)
Biconditional P(x) ↔ Q(x)
¬ Negation ¬P(x)
Exclusive OR P(x) ⊕ Q(x)

You can also use ASCII alternatives:

  • forall or all for
  • exists for
  • & or and for
  • | or or for
  • -> or implies for
  • <-> or iff for
  • ~ or not for ¬

Tools

prove

Execute a FOL proof directly:

{
  "premises": [
    "∀x (Human(x) → Mortal(x))",
    "Human(socrates)"
  ],
  "conclusion": "Mortal(socrates)",
  "prover": "vampire"
}

add_premise

Add a premise to the current session:

{
  "premise": "∀x (Human(x) → Mortal(x))"
}

set_conclusion

Set the conclusion to prove:

{
  "conclusion": "Mortal(socrates)"
}

prove_session

Prove using the current session's premises and conclusion:

{
  "prover": "vampire"
}

parse_formula

Parse and validate a FOL formula:

{
  "formula": "∀x (P(x) → Q(x))"
}

convert_to_tptp

Convert a problem to TPTP format:

{
  "premises": ["∀x (P(x) → Q(x))", "P(a)"],
  "conclusion": "Q(a)"
}

list_provers

List available theorem provers:

{}

Session Management

  • create_session: Create a new named session
  • list_sessions: List all active sessions
  • switch_session: Switch to a different session
  • get_session: Get current session state
  • clear_session: Clear all premises and conclusion
  • remove_premise: Remove a premise by index

Examples

Example 1: Classic Syllogism

Premises:

  1. All humans are mortal: ∀x (Human(x) → Mortal(x))
  2. Socrates is human: Human(socrates)

Conclusion: Socrates is mortal: Mortal(socrates)

Result: Theorem (True)

Example 2: Set Theory

Premises:

  1. If x is a subset of y and y is a subset of z, then x is a subset of z: ∀x ∀y ∀z ((Subset(x,y) ∧ Subset(y,z)) → Subset(x,z))
  2. A is a subset of B: Subset(a, b)
  3. B is a subset of C: Subset(b, c)

Conclusion: A is a subset of C: Subset(a, c)

Result: Theorem (True)

Example 3: With Counter-model

Premises:

  1. Some birds can fly: ∃x (Bird(x) ∧ CanFly(x))

Conclusion: All birds can fly: ∀x (Bird(x) → CanFly(x))

Result: Not a theorem (False - there's a counter-model where some bird can't fly)

Architecture

folprover-mcp/
├── src/folprover_mcp/
│   ├── __init__.py
│   ├── server.py          # MCP server implementation
│   ├── provers.py         # Prover interfaces (Vampire, E, Prover9, Simple)
│   ├── simple_prover.py   # Built-in resolution prover
│   ├── fol_parser.py      # FOL formula parser
│   └── tptp_converter.py  # TPTP format converter
├── tests/                 # Test suite
├── examples/              # Example proof problems
├── pyproject.toml
└── README.md

References

License

MIT License

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured