YouTube Toolbox

by jikime

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Python

Remote

Related Servers

Alternatives to YouTube Toolbox

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Related Servers

YouTube MCP Server
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MCP server that provides YouTube video data to AI agents, supporting search, metadata, comments, and transcripts without an API key.
Updated 6 months ago (2026-04-03 10:50 UTC)
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youtube-mcp
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MCP server for YouTube that provides tools to fetch video metadata and transcripts, enabling natural language queries about YouTube videos.
Updated 3 months ago (2026-06-30 04:44 UTC)
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yt-mcp
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MCP server that lets you search and list YouTube channel videos, fetch video details, and extract transcripts with timestamps using natural language.
Updated a month ago (2026-08-25 15:24 UTC)
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TranscriptAPI YouTube
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ZeroPointRepo
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A comprehensive MCP server providing YouTube transcript retrieval, video search, channel browsing, playlist extraction, and upload monitoring for AI agents.
Updated a month ago (2026-08-25 06:02 UTC)
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tubemcp
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MCP server that lets AI agents search YouTube and fetch transcripts.
Updated 5 months ago (2026-04-14 07:34 UTC)
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MCP YouTube Intelligence
Multimedia Processing Text Summarization Search
JangHyuckYun
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An MCP server for intelligent YouTube video analysis that provides token-optimized summaries, sentiment analysis, and entity extraction from transcripts. It enables AI assistants to perform video reporting, channel monitoring, and comprehensive YouTube searches through structured data tools.
Updated 16 days ago (2026-09-08 12:45 UTC)
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Apache 2.0

Deploy Server

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TDQS

B3.2/5.0

Scored 2026-04-18 10:10 across 8 tools

Disambiguation3/5

Most tools have distinct purposes, but there is notable overlap between get_video_transcript and get_video_enhanced_transcript, which could cause confusion as both handle transcripts with the enhanced version being a superset. Other tools like get_video_details and get_channel_details are clearly differentiated, but the transcript duplication weakens clarity.

Naming Consistency5/5

All tool names follow a consistent snake_case pattern with a verb-noun structure (e.g., get_channel_details, search_videos). The naming is predictable and uniform across all eight tools, making it easy for agents to understand and use them without confusion.

Tool Count4/5

With 8 tools, the count is well within the typical 3-15 range for a focused domain like YouTube data retrieval. It feels slightly thin for comprehensive coverage but reasonable for core functionalities such as fetching videos, channels, comments, and transcripts.

Completeness3/5

The toolset covers key read operations like getting details, searching, and fetching comments/transcripts, but lacks obvious write or management capabilities (e.g., upload, update, delete) that might be expected in a full YouTube toolbox. This creates notable gaps for agents needing to perform more than retrieval tasks.