Math Logic
FreeNot checkedProvides verified symbolic math and formal logic solvers including arithmetic evaluation, equation solving, calculus, and SAT/tautology checking with machine-ch
About
Provides verified symbolic math and formal logic solvers including arithmetic evaluation, equation solving, calculus, and SAT/tautology checking with machine-checked proofs.
README
MCP server that gives small LLMs verified symbolic-math & logic tools.
Small language models (Mistral, Llama, Phi, Gemma) struggle with multi-step math and formal logic. Instead of fine-tuning, give them tools. This project exposes a set of verified math and logic solvers via the Model Context Protocol (MCP), so any MCP-compatible LLM can call them as functions.
Features
| Tool | What it does | Backend |
|---|---|---|
verify_arithmetic |
Safe arithmetic evaluation | Python stdlib (zero deps) |
solve_equation |
Symbolic equation solving | SymPy (optional) |
simplify_expression |
Simplify / factor / expand | SymPy (optional) |
compute_derivative |
Differentiation | SymPy (optional) |
compute_integral |
Integration | SymPy (optional) |
check_logic |
SAT / tautology / truth tables | Z3 (optional) |
Every result includes proof steps and verification — the LLM gets a machine-checked answer, not a guess.
Quick Start
Install from PyPI
pip install math-logic-mcp
Install (full — all solvers)
pip install "math-logic-mcp[full]"
Run the MCP server
# stdio transport (for Claude Desktop, Cursor, etc.)
math-logic-mcp
# HTTP/SSE transport (for remote clients)
math-logic-mcp --http
Configure in Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"math-logic": {
"command": "math-logic-mcp"
}
}
}
Configure in Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"math-logic": {
"command": "math-logic-mcp"
}
}
}
Use as a Python Library
from math_logic import MathLogicEngine
engine = MathLogicEngine()
# Arithmetic (always available)
result = engine.solve("compute 2 + 3 * 4")
print(result.solutions) # ['14']
# Algebra (requires sympy)
result = engine.solve("Solve x^2 - 4 = 0")
print(result.solutions) # ['x = -2', 'x = 2']
# Logic (requires z3-solver)
result = engine.solve('Check satisfiability of "p and q"')
print(result.solutions) # ['Satisfiable: p=True, q=True']
Architecture
LLM ─── MCP Protocol ──▶ mcp_server.py
│
engine.py (router → solver → result)
│
┌───────────────┼───────────────┐
▼ ▼ ▼
ArithmeticSolver SymPySolver Z3Solver
(zero deps) (pip: sympy) (pip: z3-solver)
The router classifies each problem by regex patterns and routes to the best available solver. Solvers are loaded lazily — if SymPy isn't installed, algebra problems gracefully report the missing dependency.
Installation Extras
| Extra | What it adds | Install size |
|---|---|---|
| (none) | Arithmetic only | ~1 MB |
[sympy] |
+ algebra, calculus, simplification | ~50 MB |
[z3] |
+ propositional logic, SAT | ~30 MB |
[full] |
Everything | ~80 MB |
[dev] |
+ pytest, ruff | ~85 MB |
pip install "math-logic-mcp[sympy]" # algebra + calculus
pip install "math-logic-mcp[z3]" # logic
pip install "math-logic-mcp[full]" # everything
pip install "math-logic-mcp[full,dev]" # everything + dev tools
Development
git clone https://github.com/ismailkerimov/math-logic-mcp.git
cd math-logic-mcp
pip install -e ".[full,dev]"
pytest tests/ -v
Docker
docker build -t math-logic-mcp .
docker run -p 8080:8080 math-logic-mcp
License
Apache 2.0 — see LICENSE.
Installing Math Logic
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/ismailkerimov/math-logic-mcpFAQ
Is Math Logic MCP free?
Yes, Math Logic MCP is free — one-click install via Unyly at no cost.
Does Math Logic need an API key?
No, Math Logic runs without API keys or environment variables.
Is Math Logic hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Math Logic in Claude Desktop, Claude Code or Cursor?
Open Math Logic on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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