MATLAB®를 발행; MATLAB 생산 Server&trade에 모형 Context 의정서 공구로 기능;. AI Agent는 MATLAB의 속도, 신뢰성 및 도메인 별 성능을 제공합니다.

필수품

• MATLAB R2025b 이상
• MATLAB 컴파일러 SDK™
• MATLAB 생산 서버 R2022a 이상
• MCP 클라이언트(Claude Desktop, Claude Code, VS Code with Copilot, 또는 HTTP-capable client)

설치

MATLAB에서 Add-On Explorer (Home tab → Add-Ons)을 열고 MATLAB Production Server용 MCP Framework를 검색합니다. 설치.

AI 코딩 에이전트를 사용하는 경우, 에이전트를 구축하고 배포할 수 있도록 빌드 기술을 등록하십시오.

빠른 시작

MCP 도구로 기능을 localhost:9910]에서 실행되는 MATLAB Production Server의 인스턴스에 배포하려면 다음 MATLAB 코드를 실행하십시오.

해당 서버에 연결된 모든 MCP 클라이언트에 사용할 수 있습니다. 완전한 연습을 위한 Getting Started

키 기능

• ** MCP 도구 구축 ** — 프레임 워크는 기능을 패키지하고 MPS로 배포합니다. 단일 함수, 멀티툴 서버, 대형 데이터, 구조화된 입력을 지원합니다.

MCP Framework for MATLAB Production Server

Publish MATLAB® functions as Model Context Protocol tools on MATLAB Production Server™. AI agents call your functions, offering the speed, reliability, and domain-specific performance of MATLAB.

Prerequisites

• MATLAB R2025b or later
• MATLAB Compiler™, which MATLAB Compiler SDK requires
• MATLAB Compiler SDK™
• MATLAB Production Server R2025b or later. Archives built in R2025b need the R2025b MATLAB Runtime, and a server can host runtimes from its own release or earlier.
• An MCP client (Claude Desktop, Claude Code, VS Code with Copilot, or any HTTP-capable client)

Install

In MATLAB, open the Add-On Explorer (Home tab → Add-Ons) and search for “MCP Framework for MATLAB Production Server.” Select Install.

If you use an AI coding agent, register the build skill so the agent can build and deploy tools on your behalf:

prodserver.mcp.agent.setup

Quick Start

To deploy a function as an MCP tool to an instance of MATLAB Production Server running on localhost:9910, run the following MATLAB code.

% Build an MCP tool from a function — the framework runs your example to determine parameter types
ctf = prodserver.mcp.build("principalStress", ...
    example=@() principalStress([120 -50 80], "max"), ...
    server="http://localhost:9910");

% Verify deployment
prodserver.mcp.ping("http://localhost:9910/principalStress/mcp")

% Call the tool directly
prodserver.mcp.call("http://localhost:9910/principalStress/mcp", ...
    "principalStress", [120 -50 80], "maxShear")

Your function is now available to any MCP client connected to that server. See the Getting Started guide for a complete walkthrough.

Key Features

• Building MCP tools — The framework packages your functions and deploys them to MPS. Supports single functions, multi-tool servers, large data, and structured inputs.
• MCP Resources — Serve read-only reference data (material properties, calibration tables) alongside your tools, so the LLM uses real values instead of guessing. Materials example
• Server metrics — Monitor deployed tools with built-in counters at framework, server, and tool level.