MATLAB MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| execute_matlab_codeC | Execute MATLAB code and return the results |
| generate_matlab_codeC | Generate MATLAB code from a natural language description |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| MATLAB Getting Started Guide | Basic guide for getting started with MATLAB through the MCP server |
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one executes existing MATLAB code, while the other generates new code from natural language. There is no overlap or ambiguity between these functions, making it easy for an agent to select the correct tool based on the task.
Both tool names follow a consistent verb_noun pattern (execute_matlab_code and generate_matlab_code), using the same verb style and snake_case formatting. This predictability aids in understanding and usage without any deviations.
With only two tools, the server feels thin for a MATLAB domain, which typically involves more operations like plotting, data analysis, or file management. While the tools cover core execution and generation, the scope is limited and may not support complex agent workflows effectively.
The tool set is severely incomplete for a MATLAB server, lacking essential operations such as loading/saving data, creating plots, debugging code, or managing variables. Agents will face significant gaps when trying to perform common MATLAB tasks beyond basic code execution and generation.