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.
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.
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.
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.
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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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- Supported Data Sources and Platforms
(Relational/non-relational databases, AWS S3 and more) - Dashboard and Operational System Integrations
(Tableau, Power BI, AVEVA PI, and more)
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- Resources for Using MATLAB in Cloud
- Supported CI/CD Platforms
(Jenkins, GitHub, GitLab, and more)
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