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haljishi/vidwords-mcp

by Various

Hosted YouTube MCP server for AI agents — search transcripts, read a video's frames, and cite exact timestamps. Works with Claude, Claude Code, Cursor, Codex and ChatGPT.

MCP

haljishi/vidwords-mcp

Added 8 Sept 2026

#ai-agents #chatgpt #claude #cursor #llm-tools #mcp #mcp-server #model-context-protocol

Overview

Hosted YouTube MCP server for AI agents, letting them search video transcripts, read frames, and cite exact timestamps. It works with Claude, Claude Code, Cursor, Codex, and ChatGPT.

Best for

Best for
Developers building AI agents that need structured, time-coded access to YouTube video content

Use cases

  • Search video transcripts for specific topics or phrases
  • Extract frames for visual context in agent workflows
  • Cite precise timestamps when referencing YouTube content

How to use

Tools exposed

  • search_transcript
  • get_transcript
  • list_channel_videos
  • list_watchlists
  • watchlist_activity
  • analyze_video
  • get_analysis
  • ask_video

Tested with

Claude Desktop, Claude Code, Cursor, ChatGPT

Notes

Hosted YouTube MCP server for AI agents, letting them search video transcripts, read frames, and cite exact timestamps. It works with Claude, Claude Code, Cursor, Codex, and ChatGPT.

0 stars on GitHub. Last updated 2026-08-22. Licensed MIT.

Use cases

  • Search video transcripts for specific topics or phrases
  • Extract frames for visual context in agent workflows
  • Cite precise timestamps when referencing YouTube content

Pros

  • Hosted, so no local setup or YouTube API key needed
  • Works with multiple major AI chat and coding clients
  • Combines transcript, frame, and timestamp access in one server

Cons

  • No community engagement yet (0 stars) suggests early or unproven stage
  • Hosted service carries potential uptime and data-privacy tradeoffs
  • JavaScript-only implementation may not fit all agent infrastructures

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Hosted, so no local setup or YouTube API key needed
  • Works with multiple major AI chat and coding clients
  • Combines transcript, frame, and timestamp access in one server

Cons

  • No community engagement yet (0 stars) suggests early or unproven stage
  • Hosted service carries potential uptime and data-privacy tradeoffs
  • JavaScript-only implementation may not fit all agent infrastructures
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