MATLAB MCP Server is a Model Context Protocol (MCP) server that integrates with MATLAB, enabling users to create and execute MATLAB scripts and functions through an MCP client like Claude. It allows seamless interaction between large language models (LLMs) and MATLAB for mathematical computations and data analysis.
The MATLAB MCP Server bridges the gap between LLMs and MATLAB, allowing users to leverage the power of MATLAB's computational capabilities directly from an MCP-supported environment. This integration simplifies the process of writing, executing, and managing MATLAB scripts and functions while benefiting from the advanced features of both systems.
This tool is designed for developers, researchers, and engineers who work with MATLAB and want to integrate it into their workflows using an MCP client like Claude. It is particularly useful for those who need to automate script generation and execution or streamline interactions between AI models and MATLAB.
MATLAB MCP Server can be used in environments where Python 3.11 and MATLAB R2024a (or compatible versions) are installed. It supports integration with desktop applications like Claude Desktop as well as custom setups configured via its directory structure and environment variables.
You should set up MATLAB MCP Server when you need to integrate MATLAB scripting into your AI-driven workflows or when working on projects requiring frequent interactions between LLMs and MATLAB. Setting it up early ensures smooth development and testing processes.
The server requires Python 3.11, MATLAB R2024a (or a compatible version), and the `uv` package manager. Ensure that the `MATLAB_PATH` environment variable points to your MATLAB installation.
The MATLAB Engine will be installed automatically during the first run of the server if the `MATLAB_PATH` environment variable is correctly set. Alternatively, you can manually install it by navigating to `$MATLAB_PATH/extern/engines/python` and running `python setup.py install`.
Yes, you can test the server using the MCP Inspector by activating your virtual environment and running `MATLAB_PATH=/Applications/MATLAB_R2024a.app mcp dev matlab_server.py`.
The server provides several key tools: `create_matlab_script`, `create_matlab_function`, `execute_matlab_script`, and `call_matlab_function`. These allow users to create, manage, and execute MATLAB scripts and functions efficiently.
All MATLAB scripts and functions are saved in the `matlab_scripts` directory, which is created automatically. Files are named `<script_name>.m` or `<function_name>.m` and must follow valid MATLAB identifier rules.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.