neuromechanist/matlab-mcp-tools

开发工具

本页由 AI 翻译，技术细节请以原文为准。查看原文

19 stars 6 forks 质量 70 趋势 22BSD-3-Clause

Repository Install

一个MCP, 逐个开发 MATLAB 管道并一次读取一个维度

概览

一个模式背景协议(MCP)服务器,为开发和运行MATLAB文件提供工具. 与克洛德代码(Claude Code),Cursor(Cursor)以及其他MCP兼容客户端融合. - Python 3.10+ - 安装了Python引擎的MATLAB - uv包管理器(需要) 1. 运行完整的脚本,单个段落(按索引,标题,或行行范围),在行执行间保持工作空间上下文,抓图 2. 获得完整的工作空间,用字段/深度/大小控制检索特定变量,按名称模式或类型检查结构元数据,列表和过滤变量 3. 提取图元数据(轴,标签,图例),获取原始地块数据,用自定义提示为基于LLM的分析准备数字. 4.- Lint MATLAB代码通过重度过滤的检查码,支持内置代码和文件路径 5. 创建脚本,列表部分并预览,通过MCP资源读取脚本内容. 就这样!

概述（AI 翻译）

一个模式背景协议(MCP)服务器,为开发和运行MATLAB文件提供工具. 与克洛德代码(Claude Code),Cursor(Cursor)以及其他MCP兼容客户端融合.

□ 先决条件

第3.10号线+
安装了Python引擎的MATLAB
uv 包管理器(需要)

□ 特性

脚本执行 - 运行完整脚本,单个段落(按索引,标题,或行范围),在处决之间保持工作空间上下文,抓图.
工作空间管理 - 获得完整的工作空间,取回具体变量并进行字段/深度/大小控制,按名称模式或类型检查结构元数据、列表和过滤变量
** 图解** - 提取出图元数据(轴,标签,图例),得到原始图解数据,用自定义提示为基于LLM的分析准备数字.
代码质量 - Lint MATLAB代码通过 checkcode 并带有重度过滤,支持内置代码和文件路径
脚本管理 - 创建脚本,列表部分并有预览,通过MCP资源读取脚本内容

□ 安装

QQ 快速启动( 建议)

** 安装自动探测器的一号命令:**

就这样! 安装器会:

本页由 AI 翻译，技术细节请以原文为准。

README

以下为原文 README 节选，完整内容请查看原文。

MATLAB MCP Tool

A Model Context Protocol (MCP) server that provides tools for developing and running MATLAB files. Integrates with Claude Code, Cursor, and other MCP-compatible clients.

Prerequisites

Python 3.10+
MATLAB with Python Engine installed
uv package manager (required)

Features

Script Execution - Run complete scripts, individual sections (by index, title, or line range), maintain workspace context between executions, capture plots
Workspace Management - Get full workspace, retrieve specific variables with field/depth/size control, inspect struct metadata, list and filter variables by name pattern or type
Figure Analysis - Extract figure metadata (axes, labels, legends), get raw plot data, prepare figures for LLM-based analysis with custom prompts
Code Quality - Lint MATLAB code via checkcode with severity filtering, supports inline code and file paths
Script Management - Create scripts, list sections with previews, read script content via MCP resource

Installation

Quick Start (Recommended)

One-command installation with auto-detection:

./install-matlab-mcp.sh

That’s it! The installer will:

✅ Auto-detect MATLAB installations (including external volumes like /Volumes/S1/)
✅ Auto-install UV package manager if needed
✅ Create optimized virtual environment with MATLAB-compatible Python version
✅ Install all dependencies including MATLAB Python engine
✅ Generate MCP configuration ready for Cursor/Claude Code
✅ Verify installation works correctly
✅ Optionally configure Cursor automatically

Reduces installation time from 15+ minutes to ~2 minutes!

Advanced Installation

If you need custom configuration:

Clone this repository:

git clone [repository-url]
cd matlab-mcp-tools

Set custom MATLAB path (optional - installer auto-detects):

# Only needed if MATLAB is in unusual location
export MATLAB_PATH=/path/to/your/matlab/installation

Run installer:

./install-matlab-mcp.sh

Legacy Installation (Manual)

Testing Installation

Test your installation:

./scripts/test-matlab-mcp.sh

Installation complete! The MATLAB MCP server is now ready to use with Cursor/Claude Code.

Usage

Start the MCP server:

在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手？先看 mcpskill.org 教程 →

配置

{
  "mcpServers": {
    "matlab": {
      "command": "/path/to/matlab-mcp-tools/.venv/bin/matlab-mcp-server",
      "env": {
        "MATLAB_PATH": "/Applications/MATLAB_R2024b.app"
      }
    }
  }
}