TranscriptFetch MCP Server ★ New (July 16)¶
Model Context Protocol (MCP) server for TranscriptFetch: fetch YouTube transcripts, search videos, browse channels, and access playlists — all from any MCP-compatible AI client.
Source: mcp.so (submitted July 16, 2026) Category: Developer Tools Author: TranscriptFetch (verified)
Key Features¶
- Transcript fetching: Retrieve full YouTube video transcripts by URL or video ID
- Video search: Search YouTube content by keyword, topic, or channel
- Channel browsing: List and browse channel content through your AI agent
- Playlist access: Fetch playlist contents and metadata
- MCP-native: Works with Claude, Cursor, ChatGPT, and any MCP client
- Structured output: Transcripts returned as structured data for AI analysis
Business Relevance¶
Content intelligence for operators who leverage YouTube for research, competitor analysis, or content strategy. Use cases: - Competitor content analysis: Pull and analyze competitor video transcripts to understand their messaging, product positioning, and content strategy - Market research: Search YouTube for industry trends, expert interviews, and conference talks — then analyze transcripts for insights - Content strategy: Analyze top-performing videos in your niche to inform your own content approach - Learning & development: Extract knowledge from educational content, tutorials, and thought leadership - Brand monitoring: Track mentions of your brand, products, or executives across YouTube
Essential for operators in marketing, content strategy, competitive intelligence, and research roles.
Integration with CorpusIQ¶
Pair with CorpusIQ's YouTube analytics connector for complete YouTube intelligence. Combine transcript analysis with view counts, engagement metrics, and audience data. Ask: "What topics drive the highest engagement in our competitor's recent videos?" and get data-backed answers spanning both content and performance.
Limitations¶
- YouTube only — does not cover Vimeo, TikTok, or other video platforms
- Transcript availability depends on video settings (auto-captions must be enabled)
- Language coverage depends on YouTube's auto-transcription quality
- Rate limits may apply for high-volume transcript fetching