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22 days ago
glama

OCR MCP

Converts screenshots of web pages into structured Markdown using GLM-OCR (Zhipu), with tools for OCR on images, webpages, and health checks.

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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.
🔐
You'll be asked for 1 credential: GLM_OCR_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configBASE_URL
configPORT
configDB_PATH
configGLM_OCR_BASE_URL
🔐 secretGLM_OCR_API_KEYchiave API Zhipu token del server vLLM
configGLM_OCR_MODELglm-ocr zai-org/GLM-OCR
configGLM_OCR_API_STYLElayout_parsing chat
configGLM_OCR_TIMEOUT
configMAX_TILE_HEIGHTScreenshot molto alti: tagliati in tile sovrapposte ( / TILE_OVERLAP / MAX_TILES) e il Markdown viene ricucito automaticamente.
configTILE_OVERLAPScreenshot molto alti: tagliati in tile sovrapposte (MAX_TILE_HEIGHT / / MAX_TILES) e il Markdown viene ricucito automaticamente.
configMAX_TILESScreenshot molto alti: tagliati in tile sovrapposte (MAX_TILE_HEIGHT / TILE_OVERLAP / ) e il Markdown viene ricucito automaticamente.
configSCREENSHOT_TIMEOUT_MS
configDEFAULT_VIEWPORT_WIDTH
// 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/raffaele86-ocr-mcp-1l9ejd)](https://m8ven.ai/mcp/raffaele86-ocr-mcp-1l9ejd)
commit: 680e683163f0f9328ed900922fdf41bb0ec65d88
code hash: 48133e314d0c9ed682d17b838dad2c4406d17377a3a8f4f9d777b3c2f85bd0c7
verified: 7/9/2026, 10:03:51 AM
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