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matlab-agentic-toolkit

Skill Productivity Usable
Works inClaude Code
Usable Scanned — metadata only

Enables AI agents to execute complex MATLAB computations and data analysis tasks within automated workflows, reducing manual intervention and accelerating en…

Official MathWorks toolkit that connects AI coding agents to MATLAB. It automatically installs the MATLAB MCP Server and adds curated skills covering MATLAB workflows, conventions, and best practices — so agents write idiomatic code, generate and run tests, diagnose errors, and stop hallucinating toolbox functions. Supports Claude Code, GitHub Copilot, OpenAI Codex, Gemini CLI, and Sourcegraph Amp.

886 starsFreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables AI agents to execute complex MATLAB computations and data analysis tasks within automated workflows, reducing manual intervention and accelerating engineering iteration cycles.

Engineering teams leveraging AI agents for numerical simulation, signal processing, or data-driven design workflows requiring MATLAB's computational libraries.

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https://github.com/matlab/matlab-agentic-toolkit

By matlab

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
Download agenticToolkitInstaller.mltbx from the latest release, open it in MATLAB, then run: setupAgenticToolkit("install")

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Run MATLAB simulations and return numerical results for engineering analysis
PrerequisitesMATLAB R2021a or later; Git; an AI coding agent that supports MCP servers and skills (Claude Code, GitHub Copilot, Codex, Gemini CLI, Sourcegraph Amp)CostFree

Trust Signals Auto-scanned

Stars886Contributors2Last updated2026-08-06Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-10 · scanner vattempted-no-data

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 651 GitHub stars; contributors unknown; last commit 1d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
2/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score2.90 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 651 GitHub stars; contributors unknown; last commit 1d ago; license no license.

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