video-url-analyzer-mcp: Instructions file for Claude Code

CLAUDE.md

video-url-analyzer-mcp CLAUDE.md is an instructions file for Claude Code from u2n4/video-url-analyzer-mcp. It costs 1,924 tokens per session, scanned A, a copy of video-url-analyzer-mcp AGENTS.md, MIT.

Project instructions for a server that analyzes videos and photos from YouTube, TikTok, and Instagram using Google's Gemini AI. They describe how media is downloaded or accessed, uploaded for analysis, and cleaned up afterward.

In plain words
What is it for?
Maintaining or extending the video-analysis server, including transcripts, questions and answers, tutorials, structured moments, saved context, evidence files, and caching.
Why use it?
They give an AI coding agent the project context it needs to work safely in this codebase. Without them, an agent may misunderstand the media pipelines or key files.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is u2n4/video-url-analyzer-mcp's own configuration. It tells Claude Code how to work on video-url-analyzer-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything video-url-analyzer-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to u2n4/video-url-analyzer-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/u2n4/video-url-analyzer-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/u2n4/video-url-analyzer-mcp

Made for: Claude Code.

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Per session 1,924 This file is loaded in full into every session.
When invoked 1,924 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01924 $0.01924
Opus 5 $0.00962 $0.00962
Sonnet 5 $0.00385 $0.00385
Haiku 4.5 $0.00192 $0.00192

Measured 9d ago against content hash d965ed210ead, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

video-url-analyzer-mcp CLAUDE.md scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Image downloads use `_download_media_url`: urllib (system DNS, 3
Origin

This is a copy

100% identical to video-url-analyzer-mcp AGENTS.md — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CLAUDE.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Analyzer MCP Server

Project Purpose

MCP server for video/photo analysis using Google's Gemini API. Supports YouTube (direct, no download), TikTok (videos + photo slideshows), and Instagram (Reels, video posts, and photo carousels). Downloaded media is uploaded to the Gemini Files API and analyzed with full visual (and, for videos, audio) coverage.

Architecture

  • server.py: Main MCP server with 17 v1.4 tools: the original analysis/transcript/Q&A/tutorial tools, structured moment/segment tools, saved video context tools, local evidence asset tools, and cache tools.
  • Pipelines:
    • YouTube: Direct analysis via Part.from_uri() (no download).
    • TikTok/Instagram video: Fast-path API/scrape → yt-dlp fallback → upload to Gemini Files API → analyze → cleanup.
    • TikTok/Instagram photo carousel: Scrape image URLs from page/API → download each image → upload ALL images to Gemini → analyze as a single carousel with ordered slides → cleanup.
  • _download_video(url) returns list[str] (one path for a video, many for a carousel). _analyze_downloaded handles both transparently.
  • YouTube frame/clip extraction has a fast local path using yt-dlp -g stream URLs + ffmpeg. If source.mp4 is missing but a saved context has the original YouTube URL, asset tools can still extract frames/clips.
  • FastMCP for MCP protocol (stdio transport).
  • google-genai SDK for Gemini API interaction.

Media download strategy

  • TikTok photo posts: tikwm.com API returns data.images[] of image URLs.
  • Instagram photo posts: page HTML is scraped; the carousel_media / edge_sidecar_to_children JSON block is isolated to avoid picking up thumbnails of suggested/related posts. Falls back to whole-page scan if the block isn't present. Hard cap at 20 unique images.
  • Image downloads use _download_media_url: urllib (system DNS, 3 retries) → curl_cffi impersonate fallback. urllib-first was added because curl_cffi's bundled resolver intermittently fails to resolve some *.fna.fbcdn.net CDN shards on Windows while system DNS works.
  • All temp files deleted in a finally block; uploaded Gemini files are also deleted after the analysis call returns.

Read the full file on GitHub · 159 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 159 lines · 1,924 tokens per session scan A d965ed210ead

Subscribe to this mod's changes

video-url-analyzer-mcp CLAUDE.md is an instructions file published in the GitHub repository u2n4/video-url-analyzer-mcp (3 stars, last pushed 2mo ago), licensed MIT. It adds 1,924 tokens to every session, about $0.0096 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to video-url-analyzer-mcp AGENTS.md, differing in 4 lines, and is treated as a copy.

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