Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/sakshamjain2301/videocontext-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/mcp/sakshamjain2301/videocontext-mcp/video-understanding-mcp)<a href="https://agentmods.dev/mcp/sakshamjain2301/videocontext-mcp/video-understanding-mcp"><img src="https://agentmods.dev/badge/mcp/sakshamjain2301/videocontext-mcp/video-understanding-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/mcp/sakshamjain2301/videocontext-mcp/video-understanding-mcp"><img src="https://agentmods.dev/badge/mcp/sakshamjain2301/videocontext-mcp/video-understanding-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
video-understanding-mcp scanned grade A with 0 findings 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 11d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{ "video-understanding-mcp": { "command": "uvx", "args": [ "video-understanding-mcp" ] } }
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.
- 11d ago First seen · 8 lines scan A ab9db5c65972
video-understanding-mcp is an MCP server published in the GitHub repository sakshamjain2301/videocontext-mcp (1 stars, last pushed 1mo ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other mcp servers, from other repositories
ownvoice
Train a LoRA voice adapter for pocket-tts and keep the result on your own disk, not an API subscription. Runs locally from the ownvoice-cli Python package.
continuityguard
Local, zero-network CLI and library that scores AI-generated short-drama video clips for character-consistency drift and physics-plausibility issues before you re-render. Runs locally from the continuityguard-cli Python package.
kinocut
Trusted, guardrailed video editing for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, CLI, and MCP server. Runs locally from the kinocut Python package.
rag-rat
CLI and MCP entrypoint for indexing repositories into local source, graph, history, and memory evidence. Runs locally from the @rag-rat/bin npm package.
unified-ai-system
MCP server "unified-ai-system" as configured in happy520ai/unified-ai-system. Runs in Docker (ghcr.io/happy520ai/unified-ai-system/mcp-server:0.6.0).
videogen-mcp
Unified MCP server for video generation with intelligent HeyGen/Veo routing. Runs locally from the videogen-mcp Python package.