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Building an Optimization Agent with MATLAB MCP Core Server

Co-author: Tom Couture Tom Couture is the Product Manager for Optimization. In this blog post, he joins me to demonstrates how to use the new MATLAB MCP Core Server to build... 更多内容 >>

Giving Local AI Agents the ability to use MATLAB with MCP

Guest writer: Abhijit Bhattacharjee Abhijit is an application engineer at MathWorks and an expert in AI. He supports customers with the latest and greatest technologies in the... 更多内容 >>

Antigravity + MATLAB is wicked good 2

Google released a new agentic development environment called Antigravity. And it works great with MATLAB. (It's wicked as they say in Boston!) If you are looking to defy gravity, here is a fun... 更多内容 >>

MATLAB MCP Core Server Update: Bringing Your Coding Guidelines Directly to AI

Last month, we announced the release of the MATLAB Model Context Protocol (MCP) Core Server, opening a new bridge between MATLAB and the next generation of AI agents. The response has been... 更多内容 >>

MATLAB MCP Client is out on GitHub now!

Guest Writer: Shweta Pujari Shweta Pujari is the Product Manager for AI and GenAI. In this blog post, she joins me to demonstrate how to use the new MATLAB MCP Client to build agentic... 更多内容 >>

MATLAB MCP Core Server Brings Hardware into AI-Assisted Engineering 1

Guest Writer: Jacob George Jacob George is the Product Manager for Data Acquisition Toolbox, Image Acquisition Toolbox, and ThingSpeak. In this blog post, he discusses MATLAB MCP Core... 更多内容 >>

MATLAB MCP servers to develop and deploy a quant agent

This Monday, we are releasing the new MCP framework for MATLAB Production Server on GitHub: https://github.com/matlab/mcp-framework-matlab-production-server Guest Writer: Lawrence... 更多内容 >>

Releasing the MATLAB MCP Core Server on GitHub

This blog post is co-authored with Akshay Paul, the product manager for the new MATLAB MCP Core Server that released on Friday 31st of October on... 更多内容 >>