VideoNote-MCP — not yet audited

by HuangYincan · MCP Server · ★ 72

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About VideoNote-MCP

VideoNote:将视频转成文字或笔记。理解画面/弹幕/评论;支持主流平台;工具解耦;多格式导出。

ai-notesbilibiliclaude-codedouyinmcpnote-takingpythonskillsspeech-to-textvideo-transcription

Quick Facts

Stars72
Forks5
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score51.8275586262224/100
Last Updated2026-09-15
Created2026-07-31
Platformsclaude-code, mcp, python
Est. Tokens~13k

VideoNote-MCP alternative? Top 6 similar tools

Looking for a VideoNote-MCP alternative? If you're comparing VideoNote-MCP with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • augments-mcp-server by augmnt · ⭐ 127

    Comprehensive MCP server providing real-time framework documentation access for Claude Code with intelligent c

  • hns by primaprashant · ⭐ 117

    hns is a speech-to-text CLI tool to transcribe your voice from your microphone directly to clipboard. Integrat

  • mcpick by spences10 · ⭐ 94

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Frequently Asked Questions

What is VideoNote-MCP?

VideoNote-MCP is VideoNote:将视频转成文字或笔记。理解画面/弹幕/评论;支持主流平台;工具解耦;多格式导出。. It is categorized as a MCP Server with 72 GitHub stars.

What programming language is VideoNote-MCP written in?

VideoNote-MCP is primarily written in Python. It covers topics such as ai-notes, bilibili, claude-code.

How do I install or use VideoNote-MCP?

You can find installation instructions and usage details in the VideoNote-MCP GitHub repository at github.com/HuangYincan/VideoNote-MCP. The project has 72 stars and 5 forks, indicating an active community.

What license does VideoNote-MCP use?

VideoNote-MCP is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to VideoNote-MCP?

The top alternatives to VideoNote-MCP on Agent Skills Hub include claude-context-local, PolyMCP, zettelkasten-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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