HanSur94/matlab-mcp-server-python

v1.0.0 Security

This release includes 1 security fix for security teams reviewing exposed deployments.

Published 2mo MCP Developer Tools

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✓ No known CVEs patched

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This release patches 1 known CVE

Topics

agent ai matlab mcp model-context-protocol python

Summary

AI summary

Introduces MATLAB MCP Server with 20 tools, elastic engine pool, async jobs, Plotly plot conversion, security hardening, multi‑user support and Docker cross‑platform deployment.

Full changelog

MATLAB MCP Server v1.0.0

Connect any AI agent (Claude, Cursor, Copilot) to MATLAB via the Model Context Protocol.

Highlights

20 MCP tools — execute code, async jobs, file I/O, toolbox discovery, code checking, monitoring
Elastic engine pool — scales 2–10+ MATLAB engines based on demand
Interactive Plotly plots — MATLAB figures auto-converted to Plotly JSON with WebGL for large datasets
Async job system — long-running simulations with progress reporting
Custom tools — expose your .m functions as first-class AI tools via YAML
Monitoring dashboard — live gauges, time-series charts, execution log, health/metrics endpoints
Security — function blocklist, workspace isolation, filename sanitization, upload limits
Multi-user support — SSE transport with session isolation
Docker support — Dockerfile and docker-compose.yml included
Cross-platform — macOS, Windows, Linux (MATLAB 2020b+)

Install

pip install matlab-mcp-python

Requires MATLAB 2020b+ with the Engine API for Python installed.

Quick Start

# Run the server
matlab-mcp

# Connect to Claude Code
claude mcp add matlab -- matlab-mcp

See the README and Wiki for full documentation.

Security Fixes

Function blocklist, workspace isolation, filename sanitization and upload limits added as security hardening measures

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About HanSur94/matlab-mcp-server-python

Connect AI agents to MATLAB — execute code, run async jobs with progress reporting, get interactive Plotly plots, expose custom .m functions as tools, and monitor via live dashboard.

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