Agentic AI for MATLAB and Simulink
Explore the latest tools, examples, releases, blogs, and events
In engineering workflows, agentic AI can help write MATLAB code, run simulations in Simulink, understand results and errors, and iterate. Instead of manually executing each step, you oversee the loop while the agent moves the workflow forward.
Connecting an AI agent to a code interpreter is not unique, but connecting it to MATLAB and Simulink gives the agent engineering-specific capabilities that change the experience:
- Engineering-grade tools: Agents call validated domain-specific toolbox functions for signal processing, controls, and code generation.
- Simulation-driven iteration: Agents test designs against mathematically grounded Simulink models instead of guessing.
- Curated agent skills: Toolkits package engineering expertise so agents write idiomatic code from the first turn.
- Desktop to production: Agents deploy tested MATLAB functions as multi-user tools on MATLAB Production Server. No rewrite necessary.
- No AI-vendor lock-in: Agents work with Claude Code™, GitHub Copilot®, Gemini CLI™, Codex™, Amp™, and others.
Together, these capabilities let agents support everything from writing MATLAB code to running full system simulations in Simulink. Start here to explore available resources and recent updates, including toolkits, examples, releases, blogs, and events.
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New to agentic AI?
Start with the Guide to Agentic AI with MATLAB and Simulink.
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Looking for the latest updates?
See What's New for toolkit releases, events, and more.
MATLAB Agentic Toolkit
Free, open-source package that automates setup of the MATLAB MCP Core Server and adds curated agent skills encoding MATLAB best practices. Agents write idiomatic MATLAB code.
Simulink Agentic Toolkit
Extends agentic AI into Model-Based Design. Adds Simulink-specific MCP tools and skills, encoding expertise in designing, debugging, and testing.
| Offering | Description | Link |
|---|---|---|
Polyspace Agentic Toolkit |
Gives your agent the knowledge and context to work with Polyspace efficiently. Polyspace MCP Server and companion skills enable AI assistants to perform Polyspace as You Code and Polyspace Test workflows on C/C++ code. |
|
MATLAB MCP Core Server |
The foundation layer that allows external AI agents (Claude Code, GitHub Copilot, Gemini CLI, Codex, and Amp) to write, execute, test, and analyze MATLAB code in a live session. |
|
MCP Framework for MATLAB Production Server |
Publishes MATLAB functions as MCP tools on MATLAB Production Server for multi-user, enterprise deployment with AES-encrypted IP protection. Clients call tools without needing a MATLAB license. |
|
MATLAB MCP Client |
Builds agents in MATLAB that call external MCP tools, APIs, and services. Uses MATLAB as the orchestrator for multi-tool agentic workflows. Pairs with the LLMs with MATLAB add-ons. |
|
Terminal in MATLAB |
Connects to your AI agent through a command line interface directly in MATLAB. |
Coming Soon! |
| Repository | Latest Version | Highlights |
|---|---|---|
MATLAB Agentic Toolkit |
v2026.05.06 |
Experimental MATLAB-based installer (no agent tokens needed), shared install paths, improved product |
Simulink Agentic Toolkit |
v2026.05.07 |
Bug fix patch restoring marketplace config and preventing setup script from deleting unrelated MCP servers |
Polyspace Agentic Toolkit |
v1.1.1 |
Initial release with tools for Polyspace as You Code analysis, build/checker configuration, and justification |
MATLAB MCP Core Server |
v0.9.1 |
Added setup-matlab auto-install mode, improved argument validation, and session connection error handling |
Blog Posts and Technical Content
Explore the latest technical deep dives and how-to guides on agentic AI with MATLAB and Simulink.
- How to Engineer an AI Skill for MATLAB (May, 2026)
- Ebook: Guide to Agentic AI with MATLAB and Simulink
- Automate the Documentation of Your MATLAB Analysis with Agentic AI (Feb 2026)
- Building an Optimization Agent with MATLAB MCP Core Server (Jan 2026)
- Giving Local AI Agents the Ability to Use MATLAB with MCP (Jan 2026)
Events
Register for upcoming events on agentic AI with MATLAB and Simulink.
Applying agentic AI with MATLAB and Simulink across the design lifecycle, from requirements analysis through simulation to deployment.
Workflows
1. Filter Design and Optimization
An AI agent designs, compares, and optimizes digital filters in MATLAB. It proposes filter parameters, evaluates frequency response, and iterates toward specifications automatically.
Using: MATLAB Agentic Toolkit
2. Requirements Engineering and Traceability
Agents parse requirements documents, generate traceable requirements, and verify coverage across functional, logical, and physical architecture layers.
Using: Simulink Agentic Toolkit
3. Thermal Brake Simulation
An agent reads a Simulink thermal model, adjusts brake component parameters, runs simulations, and reports results. Engineers stay in control and let the agent handle the iteration.
Using: Simulink Agentic Toolkit
4. Control System Design and Tuning
AI agents design and tune controllers by interacting with Simulink models, running simulations with different design parameters, and evaluating performance against specifications.
Using: Simulink Agentic Toolkit
