MATLAB

MATLAB Integrations

Connect MATLAB with existing tools and platforms

MATLAB works with the tools, platforms, and development environments your team already uses. Whether you're building AI-driven workflows, using Python® or C/C++, working in Jupyter® or Visual Studio® Code, or deploying through continuous integration/continuous deployment (CI/CD) systems, MATLAB supports your workflow.

Generative and Agentic AI with MATLAB

Use MATLAB with external AI coding agents, build generative AI (GenAI) workflows, and deploy MATLAB algorithms as tools for AI systems. The options below highlight common starting points.

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Connect MATLAB with External AI Coding Agents

Use MATLAB Agentic Toolkit to connect your AI agents to a live MATLAB session through MATLAB MCP Server and add curated skills for writing idiomatic MATLAB code.

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Build GenAI Applications in MATLAB

Build GenAI-enabled workflows in MATLAB by connecting MATLAB to LLM APIs, local LLMs, and external MCP tools. Use these workflows for chat, retrieval, summarization, and tool-calling tasks.

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Deploy MATLAB Algorithms for AI Apps and Agents

Deploy your MATLAB algorithms and models as MCP tools to MATLAB Production Server. This approach enables your AI apps, assistants, and agents to respond to queries using custom MATLAB algorithms without requiring MATLAB licenses for end users.

Programming Language Integration

Use MATLAB with Python, C/C++, Java®, Fortran, .NET, and other programming languages. Reuse existing code, collaborate across teams, and share algorithms without unnecessary rewrites.

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Development Environment Integration

Integrate MATLAB with environments such as Visual Studio Code and Jupyter. Edit, run, and debug MATLAB code in VS Code and get support from AI assistants such as GitHub Copilot. In Jupyter notebooks, run MATLAB code in multi-language workflows.

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Enterprise Data Platforms and Data Access

MATLAB helps teams work with data directly in the enterprise platforms they already use to store, manage, and share data. Connect MATLAB with platforms such as Databricks® and Domino Data Lab to access shared data, run analytics at scale, and collaborate across engineering and data science workflows.

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Cloud and CI/CD Workflows

Use MATLAB in cloud environments, connect to cloud data and services, and scale computations using cloud resources. Integrate MATLAB into CI/CD pipelines to automate testing, improve code quality, and support software development workflows.

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