71
/ 100
8 days ago
glama
cerase-media MCP
Provides multimodal understanding tools including OCR, image description, audio transcription, UI screenshot analysis, and screenshot comparison via async tools on a multimodal endpoint.
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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 2 credentials: LITELLM_MASTER_KEY, CERASE_INTERNAL_SECRET
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.config
CERASE_MULTIMODAL_ALIAS— (default multimodal),config
CERASE_TOOL_WORKSPACE_ROOT— ), image_url, or image_base64.config
LITELLM_BASE_URL— Env: , LITELLM_MASTER_KEY (scoped service key),🔐 secret
LITELLM_MASTER_KEY— Env: LITELLM_BASE_URL, (scoped service key),config
CERASE_CONTROL_PLANE_URL🔐 secret
CERASE_INTERNAL_SECRET// 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
[](https://m8ven.ai/mcp/cerase-ai-cerase-media-mcp-hxaqlo)commit: 96718b68184f416c4f976dab38eb4dadf5121aab
code hash: db6925b932eb8a59ba5dfb84b3e95ad9a538e300591d876b3c32149719ee551d
verified: 6/22/2026, 12:26:04 PM