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1 month ago
glama

mcp-ai-detection

Enables multi-tier AI-detection screening on academic papers by extracting text from .tex and .docx files, splitting into standard sections, and running a pipeline of statistical and LLM-based analysis.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configLOCAL_LLM_MODEL"": "gemma4:e4b"
configOLLAMA_HOST
configOLLAMA_KEEP_ALIVE
configDETECTGPT_CMD
configFAST_DETECTGPT_CMD
configNPR_CMD
configPANDOC_PATH
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/carminelau-mcp-ai-detection-1p0rwm)](https://m8ven.ai/mcp/carminelau-mcp-ai-detection-1p0rwm)
commit: 1c01cd147c0a3d69e181809fc503a12e8efbe2d1
code hash: 0ee5367790e3f87e94282019f184342c43c6182fb3c5c003c421fbe6b1427b87
verified: 6/18/2026, 10:37:14 AM
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