fastmcp and matlab-mcp-server

These are ecosystem siblings—fastmcp is a framework for building MCP servers (like the matlab-mcp-server), so the latter is an example implementation built using the former's tooling.

fastmcp
81
Verified
matlab-mcp-server
48
Emerging
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 19/25
Maintenance 6/25
Adoption 8/25
Maturity 22/25
Community 12/25
Stars: 23,593
Forks: 1,813
Downloads:
Commits (30d): 206
Language: Python
License: Apache-2.0
Stars: 52
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags

About fastmcp

PrefectHQ/fastmcp

🚀 The fast, Pythonic way to build MCP servers and clients.

This project helps Python developers build applications that connect Large Language Models (LLMs) to custom tools and data. You provide Python functions, and it automatically generates the necessary components for LLMs to use them. This is ideal for developers who want to integrate LLMs with existing business logic or data sources efficiently.

LLM-development AI-application-development API-development tool-integration backend-development

About matlab-mcp-server

subspace-lab/matlab-mcp-server

Matlab MCP Server in python

This tool helps researchers, engineers, and data scientists using MATLAB to integrate it with modern AI coding assistants like Claude Code, Cursor, or VS Code Copilot. It allows you to send commands and scripts to MATLAB, manage variables, create plots, and handle data import/export, all from your AI coding environment. The output includes executed code results, updated variables, and generated figures, making your MATLAB workflows more efficient within your AI development setup.

MATLAB-integration scientific-computing engineering-analysis data-analysis AI-assisted-development

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