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matlab-mcp-server-python

by HanSur94
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Python
Hybrid

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.5/5.0

Scored across 10 tools

Disambiguation5/5

Each tool targets a clearly distinct resource or action: code linting, job cancellation, toolbox listing, file enumeration, and differentiated file reads (script/data/image), plus server status monitoring. There is no overlap or ambiguity among the listed tools.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (check_code, cancel_job, list_files, read_script, get_pool_status, etc.). The verbs are uniform and predictable, with no mixing of styles or arbitrary abbreviations.

Tool Count5/5

At 10 tools, the server's scope is well balanced: file I/O, code analysis, job cancellation, and system monitoring are each represented without redundancy or bloat. This count falls comfortably within the optimal range for a focused MCP server.

Completeness2/5

The set is severely incomplete for its apparent purpose as a MATLAB execution server: there is no execute_code tool, even though check_code explicitly references it, and no way to write or upload scripts to the temp directory. These are critical dead ends that would prevent normal code execution workflows.

Maintenance

ActivityStale
ResponsivenessUnresponsive

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