Galbaz1

Galbaz1 / video-research-mcp

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Give Claude Code 41 research & video tools with one command. Video analysis, deep research, content extraction, explainer video creation, and Weaviate vector search — powered by Gemini 3.1 Pro.

ai-tools claude-code gemini mcp mcp-server
11
0
100% credibility
Found Mar 03, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A Claude Code plugin that gives Claude access to Gemini's video understanding, multi-source research, and web search through MCP servers.

How It Works

1
🔍 Discover the video helper

You hear about a simple tool that lets AI analyze videos and do research just like watching them yourself.

2
📦 Install with one click

Run a quick command to add helpful commands and skills to your AI chat.

3
🔑 Connect your AI brain

Share your AI service password once so it can understand videos deeply.

4
Pick video or topic
📹
Analyze video

Get timestamps, key moments, and insights from any video.

💡
Deep research

Uncover facts with evidence ratings from web and docs.

5
✨ See magic results

Watch as it pulls out summaries, maps ideas, and saves everything smartly.

6
🧠 Recall anytime

Ask later what you learned — it remembers across chats.

🚀 Videos become superpowers

Turn meetings, tutorials, or topics into clear actions and knowledge forever.

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AI-Generated Review

What is video-research-mcp?

This Python MCP server gives Claude Code video smarts it lacks natively, routing analysis to Gemini 3.1 Pro with one npx command. Drop a local MP4, YouTube link, or paper directory into slash commands like `/gr:video` or `/gr:research`, and get timestamps, concept maps, evidence-graded findings, or even explainer videos synthesized from research. It handles give claude access to local files, folders, and Obsidian vaults while storing results in Weaviate for semantic recall via `/gr:recall`.

Why is it gaining traction?

Claude Code users finally get video without switching apps—Gemini processes full clips (20MB+ via File API), extracts frames with ffmpeg, and chains into deep research with citations, all via 41 tools and 14 commands that feel native. Background agents parallelize comment sentiment or visualizations, and one-key setup copies skills/agents to `~/.claude/`, dodging manual github give access to private repo hassles. The knowledge store persists analyses across projects, turning ephemeral chats into a searchable brain.

Who should use this?

AI researchers dissecting conference videos or YouTube tutorials for precise timestamps and contradictions. Devs reviewing meeting recordings for action items, giving claude code access to browser console logs via URLs. Technical writers how to give claude a voice through auto-generated explainers from paper batches, or teams giving claude access to Obsidian for cross-doc synthesis.

Verdict

Solid alpha for Claude Code power users—installs cleanly via PyPI/uvx, 540 mocked tests pass, docs cover troubleshooting—but 11 stars and 1.0% credibility signal early days; watch for stability as Gemini previews evolve. Try `/gr:video` on your next screen share if video blocks your workflow. (187 words)

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