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Fetch (Web Content & YouTube Transcripts)▌

by egoist

Fetch is a web scraping tool that extracts web content and YouTube transcripts, converting HTML to Markdown with accurat

Fetches web content and YouTube video transcripts, converting HTML to Markdown and extracting timestamps for reference in conversations.

github stars

★ 157

GitHubnpm
0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

No API key neededAutomatic HTML to Markdown conversion

best for

  • / Research and content analysis
  • / Creating summaries from web articles
  • / Extracting YouTube video content for notes

capabilities

  • / Fetch web pages and convert HTML to Markdown
  • / Extract YouTube video transcripts with timestamps
  • / Retrieve text content from URLs
  • / Process image content from web pages

what it does

Fetches web pages and YouTube video transcripts, converting HTML content to readable Markdown format for analysis and reference.

how to install

You can install Fetch (Web Content & YouTube Transcripts) 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.

license

MIT

Fetch (Web Content & YouTube Transcripts) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

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An MCP server for fetching URLs / Youtube video transcript.

This project is sponsored by ChatWise, an all-in-one LLM chatbot with first-class MCP support.

Usage

# stdio server
npx -y fetch-mcp

# sse server
npx -y fetch-mcp --sse

# streamable http server at /mcp
npx -y fetch-mcp --http
# custom endpoint
npx -y fetch-mcp --http /my-mcp

Tools

fetch_url

Fetch URL, can return HTML or Markdown (default).

fetch_youtube_transcript

Fetch Youtube transcript.

License

MIT. ","githubUrl":"https://github.com/egoist/fetch-mcp"}] 1f:null

FAQ

What is the Fetch (Web Content & YouTube Transcripts) MCP server?
Fetch (Web Content & YouTube Transcripts) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Fetch (Web Content & YouTube Transcripts)?
This profile displays 54 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Discussion

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Ratings

4.8★★★★★54 reviews
  • ★★★★★Shikha Mishra· Dec 28, 2024

    We evaluated Fetch (Web Content & YouTube Transcripts) against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Ganesh Mohane· Dec 20, 2024

    Fetch (Web Content & YouTube Transcripts) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Chen Agarwal· Dec 16, 2024

    Fetch (Web Content & YouTube Transcripts) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Isabella Torres· Dec 4, 2024

    We wired Fetch (Web Content & YouTube Transcripts) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Amina Martin· Dec 4, 2024

    Fetch (Web Content & YouTube Transcripts) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Nia Martin· Nov 23, 2024

    According to our notes, Fetch (Web Content & YouTube Transcripts) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Tariq Perez· Nov 23, 2024

    Fetch (Web Content & YouTube Transcripts) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Sakshi Patil· Nov 11, 2024

    I recommend Fetch (Web Content & YouTube Transcripts) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Nia Thompson· Nov 7, 2024

    Fetch (Web Content & YouTube Transcripts) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Isabella Rao· Oct 26, 2024

    We wired Fetch (Web Content & YouTube Transcripts) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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