MATLAB MCP Server
by MCP-Mirror
This is a powerful MCP server that integrates MATLAB with AI, allowing you to execute MATLAB code and generate MATLAB scripts from natural language descriptions. It also provides access to MATLAB documentation directly through your AI assistant.
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What is MATLAB MCP Server?
The MATLAB MCP Server is a tool that enables you to interact with MATLAB through an AI assistant. It allows you to execute MATLAB code, generate scripts from natural language, and access MATLAB documentation.
How to use MATLAB MCP Server?
To use the server, you need to install it using npm, configure your cline application with the server details (command, arguments, environment variables), and ensure that MATLAB is installed on your system. You can then use the execute_matlab_code and generate_matlab_code tools within your AI assistant.
Key features of MATLAB MCP Server
Execute MATLAB code and get results
Generate MATLAB code from natural language descriptions
Access MATLAB documentation via URI
Save scripts for future reference
Use cases of MATLAB MCP Server
Automating MATLAB tasks through natural language commands
Integrating MATLAB functionality into AI-powered workflows
Quickly accessing MATLAB documentation within an AI assistant
Generating MATLAB code for complex problems using natural language
FAQ from MATLAB MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standard for communication between AI models and external tools.
What are the system requirements?
What are the system requirements?
MATLAB installed on your system and Node.js (v14 or higher).
How do I install the server?
How do I install the server?
Use npm install -g matlab-mcp-server or clone the repository and build it yourself.
How do I configure cline to use the server?
How do I configure cline to use the server?
Add the server configuration to your claude_desktop_config.json file with the correct paths to your MATLAB executable and the server's build directory.
How can I debug the server?
How can I debug the server?
Use the MCP Inspector by running npm run inspector.