This release keeps dependencies and maintenance posture current for teams operating this tool.
✓ No known CVEs patched in this version
Topics
Summary
AI summaryMinor fixes and improvements.
Full changelog
v1.4.1 — Documentation
Comprehensive Docstrings
Improved documentation across all source modules:
- server.py:
MatlabMCPServer.__init__,lifespancontext manager,mainentry point, background tasks - pool/engine.py:
EngineStatelifecycle,stateproperty - pool/manager.py:
_make_engine,get_statusreturn dict - jobs/models.py:
JobStatusterminal states,Jobattributes - jobs/executor.py:
_inject_job_context,_wait_for_completion,_safe_serialize - jobs/tracker.py: thread safety, pruning strategy
- monitoring/: collector init, store init, health evaluation, route handlers, dashboard factory + all inner handlers
- output/plotly_style_mapper.py: mapping tables, all trace converters
- tools/monitoring.py: all three tool functions with Parameters/Returns
- tools/custom.py: inner handler docstring
- config.py: all 11 Pydantic models,
load_config,validate_pool
README Updates
- Added Windows one-click installer section (
install.bat) - Updated MATLAB version requirement to R2022b+
- Added offline install instructions
Full Changelog: https://github.com/HanSur94/matlab-mcp-server-python/compare/v1.4.0...v1.4.1
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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.
Related context
Beta — feedback welcome: [email protected]