AxiomMath

AxiomMath / axle-mcp-server

Public

MCP Server for AI agents to interact with our Lean infrastructure

15
0
100% credibility
Found Mar 09, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A server that connects AI coding assistants to Axiom's Lean math verification tools, enabling proof checking and code manipulation.

How It Works

1
📰 Discover AXLE MCP Server

You hear about a handy tool that lets your AI coding helper check math proofs automatically using powerful verification magic.

2
📝 Sign Up for Free Access

You visit the Axiom site and create a free account to get your personal pass for the math tools.

3
Connect to Your AI Helper
🤖
Using Claude Code

Follow the simple one-line instruction to link it right in Claude.

💻
Using Other Apps like Cursor or VS Code

Paste a short setup snippet into your app's settings file.

4
✨ Everything is Connected!

Your AI helper now has instant access to math proof checking, ready to verify ideas on the spot.

5
🧮 Verify Your Math

Tell your AI to check a proof or manipulate Lean math code, and it uses the new tools seamlessly.

✅ Proofs Verified Instantly!

You get reliable results back quickly, making your math projects trustworthy and fun.

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Star Growth

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AI-Generated Review

What is axle-mcp-server?

Axle-mcp-server is a Python-based MCP server that lets AI agents interact with Axiom's Lean infrastructure through the Model Context Protocol. It exposes tools for Lean code verification, manipulation, and environment listing, solving the hassle of manual theorem proving setups. Grab a free API key from axle.axiommath.ai, add it to Claude Code, Cursor, VS Code Copilot, or other MCP clients via a quick config, and run proofs directly in your workflow.

Why is it gaining traction?

It bridges AI agents with formal math verification, a niche absent in standard mcp github copilot vscode or mcp github issues tools. Standout hooks include uvx-based installs, JSON tool schemas for endpoints like proof checking, and seamless env selection—perfect for mcp server ai agents without docker hassles. Demos and config snippets make mcp server examples dead simple, drawing Lean devs to mcp github python projects.

Who should use this?

Math researchers or formal verification engineers using Cursor, Claude Desktop, or VS Code for Lean proofs via mcp github copilot. Suited for AI agent builders in mcp github n8n or project managers handling axle tasks, who need quick mcp server list access without full Lean servers. Skip if you're not in theorem proving.

Verdict

At 14 stars and 1.0% credibility score, it's immature with dev-only tests, but solid README and mcp server tutorial make it viable for Lean niches. Adopt for experiments if AXLE aligns; wait for more adoption otherwise.

(178 words)

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