TranscriptFetch/mcp-server

Overview

Model Context Protocol (MCP) server that exposes TranscriptFetch as a tool for MCP clients. It enables fetching YouTube transcripts, searching, and accessing channel and playlist data through standardized MCP endpoints. Written in TypeScript for integration with any MCP-compatible client.

Best for

Best for
Developers building MCP-connected tools that need structured YouTube transcript and metadata access

Use cases

• Pull YouTube transcripts into an AI assistant or agent
• Search across videos, channels, and playlists from a single MCP client
• Automate transcript retrieval for content analysis or summarization workflows

How to use

Install

npm install -g transcriptfetch-mcp

Tools exposed

• get_transcript
• search_videos
• list_channel_videos
• list_playlist_videos
• get_credits
• TRANSCRIPTFETCH_API_KEY
• TRANSCRIPTFETCH_BASE_URL

Tested with

Claude Desktop, Cursor

Notes

Model Context Protocol (MCP) server that exposes TranscriptFetch as a tool for MCP clients. It enables fetching YouTube transcripts, searching, and accessing channel and playlist data through standardized MCP endpoints. Written in TypeScript for integration with any MCP-compatible client.

0 stars on GitHub. Last updated 2026-08-28. Licensed MIT.

Use cases

• Pull YouTube transcripts into an AI assistant or agent
• Search across videos, channels, and playlists from a single MCP client
• Automate transcript retrieval for content analysis or summarization workflows

Pros

• Implements the open MCP standard for cross-client compatibility
• Covers multiple YouTube data types: transcripts, search, channels, playlists
• TypeScript codebase for straightforward inspection or extension

Cons

• Zero stars and no community signals indicate unproven adoption
• Depends on the external TranscriptFetch service and its reliability
• Requires running an MCP server, adding setup overhead for simple use cases

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