A
licenseA
qualityB
maintenanceMCP server that connects any AI agent to MATLAB — execute code, async jobs, interactive Plotly plots, custom tools, and monitoring dashboard
20
5
MIT
MATLAB MCP Server
by FraanW
Related Servers
Alternatives to MATLAB MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityFmaintenanceIntegrates MATLAB with AI to execute code, generate scripts from natural language, and access MATLAB documentation seamlessly.255Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to control MATLAB Simulink models through natural language, providing tools for model creation, block management, wiring, simulation, and more via a local MCP backend.3MIT
- AlicenseNot gradedqualityDmaintenanceEnables interactive MATLAB development by allowing users to execute scripts and specific code sections, manage workspace variables, and capture generated plots. It integrates with the MATLAB Python Engine to provide persistent execution context for MCP-compatible clients.18BSD 3-Clause
- AlicenseNot gradedqualityDmaintenanceMCP server for scientific computing with multiple backends (Mathematica, Octave, Python, R, SageMath, etc.) enabling mathematical computation and visualization through AI coding assistants.5-
- FlicenseNot gradedqualityDmaintenanceAllows interaction with MATLAB by creating and executing scripts and functions through Claude or other MCP clients, supporting script management and execution result retrieval with environment configuration capabilities.40-
TDQS
B3.3/5.0
Scored across 2 tools
Disambiguation5/5
The two tools are clearly distinct: one generates MATLAB code and the other executes it. There is no ambiguity or overlap in their purposes.
Naming Consistency5/5
Both tool names follow the same verb_noun pattern: generate_matlab_code and execute_matlab_code. The naming is perfectly consistent and predictable.
Tool Count3/5
Two tools is on the low end and feels thin for a server, but each tool has a meaningful role. The set is coherent, yet minimal.
Completeness4/5
The core workflow of generating and executing MATLAB code is covered without dead ends. Some auxiliary capabilities like persistent workspace management or file I/O are missing, but agents can likely work around these with generated code.
Maintenance
ActivityInactive
ResponsivenessNo issues