mcp-video-analyzer (guimatheus92/mcp-video-analyzer) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 8 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100
9 days ago

mcp-video-analyzer

MCP server that turns any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct URLs, local files — into transcripts, key frames, OCR text, and metadata for AI agents.

→ guimatheus92/mcp-video-analyzer· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

guimatheus92

Source: Glama · also listed on github_topic

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Install from

GlamaGitHub

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// key findings
🚨
Secret credentials may flow to a network call
1 flow detected: TWELVELABS_API_KEY. We can’t prove the destination matches the brand the credential belongs to.
🔐
You'll be asked for 2 credentials: OPENAI_API_KEY, TWELVELABS_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configMCP_CACHE_DIRAbsolute paths only (a relative value is ignored). Use it when $HOME is read-only or absent — a hardened container, ProtectHome=, a quota'd home. The published Docker image sets it to /tmp/mcp-video-analyzer-cache so --read-only --tmpfs /tmp works out of the box
configMCP_FRAME_JPEG_QUALITYRaise it when thin glyphs matter; env only, there is no per-call quality parameter. Values outside 1–100 fall back
configMCP_FRAME_MAX_WIDTHWidth cap for emitted frames (default 800, or MCP_FRAME_MAX_WIDTH); 0 keeps the source resolution — see [Frame size](#frame-size-dense-ui-captures)
configMCP_OCR_PREPROCESS
configMCP_WRITE_SIDECARSThe in-memory cache is lost on restart, which makes reprocessing a large local corpus costly. Set =1 to also persist results next to each local video so the work survives restarts and can resume:
🔐 secretOPENAI_API_KEY3. OpenAI Whisper API — used when is set.
🔐 secretTWELVELABS_API_KEYYes
configWHISPER_BEAM_SIZEwhisper CLI (sent only if set) — 5
configWHISPER_BINC:/.../Scripts/whisper.exe
configWHISPER_COMPUTEfloat16, int8_float16, int8
configWHISPER_DEVICEcuda, cpu
configWHISPER_HF_MODELXenova/whisper-small
configWHISPER_LANGUAGEpt, en, es
configWHISPER_MODELsmall, medium
configWHISPER_PROMPTDoha, Smiles, Livelo, Latam, milheiro
configWHISPER_WORD_TIMESTAMPSwhisper CLI (sent only if set) off 1
configXDG_CACHE_HOME
configYTDLP_COOKIESC:/secrets/cookies.txt
configYTDLP_COOKIES_FROM_BROWSERchrome, edge, firefox
// quality suggestions

Dependencies

7 runtime dependencies (11 dev), 1 flagged: puppeteer-core

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// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 0 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/guimatheus92/mcp-video-analyzer)](https://m8ven.ai/mcp/guimatheus92/mcp-video-analyzer)
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commit: b56d96649a01a90cf96e929739454c7309a20494
code hash: 8456666e4dfdcd1417f78ebe415d4cf9de155d5033ed0f5cdf24c25d1a7e54dc
verified: 9/1/2026, 3:46:53 AM
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