by mybuddymichael
Easily fetch and analyze YouTube transcripts by video URL or ID. Use our YouTube transcript tool for fast content analys
Extracts transcripts from YouTube videos with language selection and formatting options. Provides video metadata and automatic paragraph segmentation for content analysis.
YouTube Transcript is a community-built MCP server published by mybuddymichael that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily fetch and analyze YouTube transcripts by video URL or ID. Use our YouTube transcript tool for fast content analys It is categorized under search web, other.
You can install YouTube Transcript in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
YouTube Transcript is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
README content is unavailable from source data for this server.
Open GitHub repository →Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Share your MCP server with the developer community
YouTube Transcript is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired YouTube Transcript into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
YouTube Transcript has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend YouTube Transcript for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
YouTube Transcript reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: YouTube Transcript surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired YouTube Transcript into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated YouTube Transcript against two servers with overlapping tools; this profile had the clearer scope statement.
YouTube Transcript has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: YouTube Transcript surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
