# Aristotle MCP Server

> Use this tool when you need to formalize mathematical problems or prove theorems in Lean, as it enables large language models (LLMs) to interact with the Aristotle API, accepting both formal Lean code and natural language submissions as input and generating formal proofs as output. This tool solves problems in mathematical formalization and automated theorem proving, making it ideal for applications in formal verification and mathematical research. It is particularly useful when working with complex mathematical concepts that require rigorous proof and validation.

Canonical page: https://skillsregistry.net/skills/gleachkr-aristotle-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gleachkr-aristotle-mcp

## Description

Enables LLMs to prove theorems in Lean and formalize mathematical problems using the Aristotle API, supporting both formal Lean code and natural language problem submissions.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b00ttxog9w)
- **Repository:** <https://github.com/gleachkr/aristotle-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gleachkr-aristotle-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gleachkr-aristotle-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gleachkr-aristotle-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt