About fetch-mcp
fetch-mcp is an MCP server for fetching web page content and YouTube video transcripts. It can run over stdio, SSE or streamable HTTP, and suits users who want AI assistants to read web pages or video text.
Key features
- 01Fetch content from URLs
- 02Return Markdown or HTML output
- 03Retrieve YouTube video transcripts
- 04Support stdio, SSE and HTTP transports
Use cases
- 01Letting an AI assistant read and summarize web pages
- 02Extracting YouTube transcripts for analysis or notes
- 03Supplying web data to an LLM in browser-related workflows
MCP support
fetch-mcp is an MCP server that exposes the fetch_url and fetch_youtube_transcript tools to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
2Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| url | string | Yes | The URL to fetch |
| raw | boolean|null | No | Return raw HTML instead of Markdown for HTML pages |
| max_length | number | No | The max length of the content to return |
| start_index | number | No | The starting index of content to return |
Details
From the project READMEfetch-mcp
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.
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.