Simulink Agentic Toolkit

The Simulink® Agentic Toolkit allows you to use AI agents with Simulink by giving your AI agent the knowledge and context to read, build, edit, and test Simulink® models using Model-Based Design best practices. It connects agents to Simulink through the MATLAB MCP Server, giving them the ability (tools) and the knowledge (skills) to work with Simulink models effectively. Use this toolkit to provide trusted Simulink capabilities to your agent. This toolkit prevents your AI coding agent from hallucinating, missing new features, and wasting time with extra steps that experienced Simulink users would skip.

The toolkit provides:

• MCP tools for reading, editing, querying, testing, and checking Simulink models
• Agent skills encoding Model-Based Design best practices for model building, simulation, plant specification, testing, requirements, project management, and architecture modeling
• Automated setup using a MATLAB® function that installs the MATLAB MCP Server, configures your agent, and registers skills
• Supports Claude Code, Copilot, Codex, Amp, and Gemini CLI

To use AI agents with MATLAB, install the MATLAB Agentic Toolkit. Use the automated setup option to install both the toolkits in one step.

How the Simulink Agentic Toolkit Works

┌───────────┐       ┌───────────┐       ┌──────────┐
│ AI Agent  │◄─MCP─►│MCP Server │◄─────►│ MATLAB / │
│ (Claude,  │       │ (MATLAB   │       │ Simulink │
│  Codex,   │       │ MCP Core) │       └──────────┘
│  Copilot) │       └───────────┘
└───────────┘
      ▲
      │ reads
┌─────┴─────┐
│  Skills   │
│ (MBD best │
│ practices)│
└───────────┘

Your agent reads skills for domain knowledge, then calls MCP tools to interact with MATLAB and Simulink. The MATLAB MCP Server bridges the connection (downloaded during setup).

Requirements

• MATLAB R2023a or later with Simulink
• A supported AI coding agent (see Supported Platforms)
• Simulink Test (optional) — required only for the model_test tool
• Some skills require additional toolboxes (e.g., System Composer, Simscape, Stateflow). Check the requires-products field in each skill's manifest.yaml under skills-catalog/ for additional requirements.

Supported Platforms

The Simulink Agentic Toolkit works with any AI coding agent that supports skills and MCP. The automated setup has been verified on the platforms listed below. Performance may vary with other coding agents.

Platform	Setup
Claude Code	Automated
GitHub Copilot	Automated
OpenAI Codex	Automated
Gemini CLI	Automated
Sourcegraph Amp	Automated

Get Started with the Simulink Agentic Toolkit

These steps show you how to use the Simulink Agentic Toolkit to install the MATLAB MCP Server and add skills to your agent.

Note: For detailed instructions on configuration options for this toolkit, platform-specific notes, verification steps, and troubleshooting, see Configuration and Troubleshooting.

Install Simulink Agentic Toolkit (Automated Setup)

You can use the Agentic Toolkit installer to set up the Simulink Agentic Toolkit. The installer:

• Supports both the MATLAB and Simulink Agentic Toolkits.
• Supports connecting to an existing MATLAB session (--matlab-session-mode="auto" or "existing").
• Provides the option to configure your agent for individual projects or globally.

Follow these steps to set up the Simulink Agentic Toolkit.

1. Download agenticToolkitInstaller.mltbx.

2. Open the downloaded file to install the installer add-on. If the Add-On Manager fails to launch (common on headless machines, corporate proxies/antivirus, or older MATLAB versions — you may see this error ERR_CERT_AUTHORITY_INVALID or "Unable to open the requested feature"), install programmatically instead:

   matlab.addons.toolbox.installToolbox("agenticToolkitInstaller.mltbx")
   

3. After installing, in MATLAB, run:

   setupAgenticToolkit("install")
   

To uninstall the toolkit, run setupAgenticToolkit("uninstall").

Existing users: If you previously set up the toolkit using the agent-driven workflow, you must uninstall that custom installation and global configuration setup. See Migrating from a Previous Installation.

Alternative Manual Installation Workflow

If you prefer to manage your own MATLAB MCP server installation and agent configuration, or if you are using an agent that is not listed under Supported Platforms, you can set up the toolkit manually, following these steps.

1. Download the latest MATLAB MCP server from the MCP server release.

2. Install the MATLAB MCP Server Toolbox by running:

   ./matlab-mcp-server --setup-matlab
   

   Note: If you downloaded the binary manually from GitHub releases, the asset name includes a platform suffix that depends on the release version:

   Platform	New asset name	Legacy asset name (pre-6/18)
   Linux x86_64	matlab-mcp-server-linux-x64	matlab-mcp-core-server-glnxa64
   macOS arm64	matlab-mcp-server-macos-arm64	matlab-mcp-core-server-maca64
   macOS x86_64	matlab-mcp-server-macos-x64	matlab-mcp-core-server-maci64
   Windows x86_64	matlab-mcp-server-windows-x64.exe	matlab-mcp-core-server-win64.exe

   Rename the downloaded file to matlab-mcp-server (or matlab-mcp-server.exe on Windows) and place it in ~/.matlab/agentic-toolkits/bin/. The automated setup handles this automatically.

3. Connect the MATLAB MCP Server to a running MATLAB session. In the command window of the running MATLAB session, run shareMATLABSession().

4. Clone the Simulink Agentic Toolkit repository, then add toolkit flags to your agent's MCP server configuration:

   --matlab-session-mode=existing
   --extension-file=/path/to/simulink-agentic-toolkit/tools/tools.json
   

5. Register skills by pointing your agent's skill or prompt directory at each non-empty group under skills-catalog/ — model-based-design-core/, model-based-system-engineering/, verification-validation-and-test/, simulink-simulation/, simulink-modeling/, control-systems/, simulink-environment-fundamentals/, signal-processing/, and code-generation/. Each skill is a self-contained SKILL.md with a manifest.yaml.

   For platforms that discover skills from ~/.agents/skills/, create symlinks:

   mkdir -p ~/.agents/skills
   for group in model-based-design-core model-based-system-engineering verification-validation-and-test simulink-simulation simulink-modeling control-systems simulink-environment-fundamentals signal-processing code-generation; do
     for skill in /path/to/simulink-agentic-toolkit/skills-catalog/$group/*/; do
       ln -s "$skill" ~/.agents/skills/$(basename "$skill")
     done
   done
   

MATLAB Setup

The MATLAB MCP Server connects to a running MATLAB session. For each session, add the Simulink Agentic Toolkit to the path and initialize it.

On Linux and macOS, use:

addpath("~/.matlab/agentic-toolkits/simulink")
satk_initialize

On Windows, use:

addpath(fullfile(getenv('USERPROFILE'), '.matlab', 'agentic-toolkits', 'simulink'))
satk_initialize

This does three things:

1. Adds the toolkit's tool directories to the MATLAB path
2. Calls shareMATLABSession so that the MATLAB MCP server can connect to running MATLAB session
3. Runs validate_installation to check that everything is configured correctly

If you installed the MCP server binary to a non-default location (e.g., a network share), pass its path explicitly:

satk_initialize(MCPServerPath="//server/share/bin/matlab-mcp-server")

Note: satk_initialize must run once per MATLAB session. To run it automatically in future sessions, add the block below to your startup.m.

Finding or creating your startup.m:

1. List existing startup files:

   which('startup', '-all')
   

2. If any are listed, edit the first entry — MATLAB runs the one it finds first on the path.
3. If none are listed, create one under userpath:

   edit(fullfile(userpath, 'startup.m'))
   

   If that errors because userpath has multiple folders, run userpath, copy the first folder, and use it explicitly: edit(fullfile('<thatFolder>', 'startup.m')).

Add this block to startup.m:

% Initialize the Simulink Agentic Toolkit (adjust version/path as needed)
if contains(version, 'R2026a')
    if ispc
        addpath(fullfile(getenv('USERPROFILE'), '.matlab', 'agentic-toolkits', 'simulink'))
    else
        addpath("~/.matlab/agentic-toolkits/simulink")
    end
    satk_initialize
end

Verify

Check that your agent has loaded skills or plugins on its path (e.g., Claude Code's /skills command), confirm the Simulink Agentic Toolkit skills are listed. Open any Simulink model — your own, or a shipped example.

openExample('simulink_general/sldemo_househeatExample')

This opens the shipped example model sldemo_househeat. Ask your agent:

Describe the structure of the currently open model.

Library Configuration

Toolbox Libraries

Use satk.Configuration.setLibrary to activate pre-built knowledge bases for installed MathWorks toolboxes:

satk.Configuration.setLibrary('all')                                          % Activate all installed toolbox KBs
satk.Configuration.setLibrary({'Aerospace Blockset', 'Simscape'})  % Activate specific toolboxes by name
satk.Configuration.setLibrary('none')                                         % Deactivate all toolbox KBs

Custom Libraries

To use your own custom Simulink block libraries with the toolkit, register them in MATLAB once:

satk.Configuration.setCustomLibraries("C:\path\to\customLibs")

This declares your custom libraries. On the next model-building task or on invocation of the 'setup-custom-libraries' skill, the agent indexes the libraries into a knowledge base (~3–5 min to complete) storing it in MATLAB's preference directory (prefdir) enabling usage of custom blocks alongside built-in ones.

Clearing Configuration

To remove all library configuration:

satk.Configuration.clearConfig()

Update Simulink Agentic Toolkit

To update the toolkit, download the latest installer add-on by clicking agenticToolkitInstaller.mltbx. Open the downloaded file with MATLAB, and run this command in MATLAB:

setupAgenticToolkit("update")

This updates the skills, configurations, and MCP server binary for both the MATLAB and Simulink Agentic Toolkits.

MCP Tools

After you install the Simulink Agentic Toolkit, your agent can use the following tools.

Tool	What your agent can do
model_overview	Explore model architecture. Review subsystem hierarchy, interfaces, and how major components connect
model_read	Understand model behavior. Inspect blocks, algorithmic expressions, signal flow, and parameter values
model_edit	Build and modify models. Add blocks, wire signals, create subsystems, and configure parameters as needed
model_check	Validate model structure. Detect unconnected ports, dangling lines, and Edit-Time Checks on States and Subcharts
model_read_diagnostics	Read diagnostics. Retrieve errors, warnings, and info messages from the Diagnostic Viewer after compilation, simulation, or code generation
model_test	Verify requirements. Run human-readable Gherkin tests with automatic harness generation (requires Simulink Test)
model_query_params	Inspect any parameter. Query block settings, signal properties, solver config, and logging flags
model_resolve_params	Get actual values. Resolve workspace variables like Kp to their numeric values across all scopes
model_scan	Find something specific, fast. Regex-search the saved .slx file on disk for a block name, parameter value, or string without loading the model

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Agent Skills

After you install the Simulink Agentic Toolkit, your agent can use the skills in the following groups. To see lists of available skills, see skills catalog.

Skill Group	Description
Model-Based Design Core	Core Model-Based Design (MBD) skills for building, testing, and specifying Simulink models
Model-Based System Engineering	Model-Based System Engineering skills for System Composer architecture models
Verification, Validation, and Test	Author custom Model Advisor checks, run compliance reviews against industry standards (MISRA, MAB, ISO 26262, DO-178C, etc.), fix SLDV incompatibilities, and explain missing coverage
Simulink Simulation	Skills for constructing simulation input datasets and configuring simulation workflows
Simulink Modeling	Configure and integrate C/C++ code into Simulink models via C Function blocks
Control Systems	Control system design and analysis skills for Simulink models
Simulink Environment Fundamentals	Core Simulink environment capabilities, including discovering shipped example models
Signal Processing	Frame-based streaming DSP models in Simulink using DSP System Toolbox
Code Generation	Prepare Simulink models for production code generation, including single-precision conversion, optimizing generated embedded code, configuring Embedded Coder deployment settings, and customizing A2L calibration files

Security Considerations

When using the Simulink Agentic Toolkit and MATLAB MCP Server, you should thoroughly review and validate all tool calls before you run them. Always keep a human in the loop for important actions and only proceed once you are confident the call will do exactly what you expect. For more information, see User Interaction Model (MCP) and Security Considerations (MCP).

Licensing and Usage

The license is available in the LICENSE.md file in this GitHub repository.

MCP servers are only permitted to be used with MATLAB and Simulink in accordance with the MathWorks Software License Agreement, and must not be shared by multiple users. Contact MathWorks if you need to support shared or centralized server use.

Research Preview: Agentic Task Explorer

The Agentic Task Explorer provides curated, multi-step tasks that show what agents can do with Simulink — model understanding, creation, modification, testing, bug fixing, and verification. Each task includes Simulink models and supporting files, ready to go.

slAgenticTaskExplorer

Select a task from the interactive UI. The explorer stages it into an isolated workspace with all required files, then opens your coding agent. Each task presents step-by-step prompts — copy each prompt into your coding agent and watch it work.

This is a research preview. Behavior and interfaces might change.

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Report Bugs

If you encounter a bug, use the filing-bug-reports skill to generate a report before opening a GitHub issue. Ask your agent:

File a bug report for this issue

The skill automatically captures environment details, reproduction steps, and error output. Run the skill in the same session where the bug occurred, because it uses conversation context to reconstruct what happened. Then open a bug report and paste the generated report.

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Support and Contributions

MathWorks encourages you to use this repository and provide feedback. To request technical support or submit an enhancement request, create a GitHub issue or contact technical support. For MATLAB MCP Server issues, see the MATLAB MCP Server repository.

Pull requests are not enabled on this repository. See CONTRIBUTING.md for details.

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