simulink-agentic-toolkit MCP Server
simulink/simulink-agentic-toolkit
The Simulink Agentic Toolkit gives your AI agent both the tools and the expertise to work effectively with Simulink and Model-Based Design.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
simulink/simulink-agentic-toolkit is a HTML agent tool. The Simulink Agentic Toolkit gives your AI agent both the tools and the expertise to work effectively with Simulink and Model-Based Design. Topics: agent-skills, claude-code, codex-plugin, engineering-agents, github-copilot, matlab, matlab-mcp-server, mcp-tools, simulink.
Ranked #1729 out of 29906 indexed tools.
In the top 6% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
19 stars → early stage
Last commit today → actively maintained
No issues filed → no history to score
0 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
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From the README
# Simulink Agentic Toolkit Give your AI coding agent the ability to read, build, edit, and test Simulink® models using Model-Based Design best practices. --- ## What It Does The Simulink Agentic Toolkit packages MathWorks® Model-Based Design expertise for AI coding agents. It connects agents to Simulink through the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/), giving them both the **ability** (tools) and the **knowledge** (skills) to work with Simulink models effectively. - **6 MCP tools** for reading, editing, querying, testing, and checking Simulink models - **7 agent skills** encoding MBD best practices for model building, plant specification, testing, requirements, and tool initialization - **Per-agent manifests** for Claude Code, Cursor, Codex, Copilot, Amp, and Gemini CLI — install once, skills and MCP are configured automatically - **Automated setup** that configures MATLAB® paths, enables MCP attachment, and validates your installation --- ## How It WRead full README on GitHub →
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