Can it be integrated with AI assistants like Claude Code?

Yes, it's designed for seamless integration with AI assistants, with clear configuration examples provided for tools like Claude Code via `.mcp.json`.

What is Lean (rust-lean-mcp)?

Lean (rust-lean-mcp) is a high-performance Rust-based Model Context Protocol (MCP) server designed to bridge Lean 4's Language Server Protocol with AI assistants.

What specialized tools does it offer for Lean 4?

It provides 26 specialized MCP tools covering proof state analysis, code intelligence, various search capabilities, tactic assistance, build management, and verification for Lean 4 projects.

How does it simplify Lean project management?

It automatically detects Lean project roots and supports concurrent interaction with multiple Lean projects from a single server session, streamlining development workflows.

What are the performance advantages of this tool?

Built in Rust, the server is high-performance, ensuring fast and efficient communication between AI assistants and Lean 4's Language Server Protocol, enhancing responsiveness.

Lean

Name: Lean
Author: LarsenClose

byLarsenClose

0•

개발자 도구

API 개발

Enables AI assistants to interact with Lean 4's Language Server Protocol via a high-performance Rust-based Model Context Protocol server.

This tool provides a robust and high-performance solution for integrating Lean 4 proof assistant capabilities with AI assistants. Functioning as a Model Context Protocol (MCP) server, it seamlessly bridges Lean 4's Language Server Protocol (LSP) to AI models. With its extensive suite of 26 dedicated tools, it empowers AI to deeply analyze proof states, understand code intelligence, perform advanced searches, and even execute tactics within Lean projects, facilitating sophisticated AI-powered theorem proving, code analysis, and interactive development workflows.

주요 기능

01High-performance Model Context Protocol (MCP) server implemented in Rust.

02Comprehensive suite of 26 specialized MCP tools for Lean 4 proof assistance, code intelligence, and search.

03Supports concurrent interaction with multiple Lean projects within a single server session.

04Automatic detection of Lean project roots from file paths or working directory.

050 GitHub stars

06Modular 3-crate architecture including a standalone Lean 4 LSP client.

사용 사례

01Developing AI tools for automated theorem proving, proof verification, and code generation within Lean 4 projects.

02Enabling AI assistants to analyze and interact with Lean 4 codebases, providing intelligent suggestions and resolving issues.

03Integrating advanced Lean 4 proof assistance and code analysis into AI models and chat interfaces (e.g., Claude Code).