Fetch (Web Content & YouTube Transcripts) logo

Fetch (Web Content & YouTube Transcripts)

Community
egoist

An MCP server for fetching URLs / Youtube video transcript.

Publisheregoist
Repositoryfetch-mcp
LanguageTypeScript
Forks
13
Stars
156
Available tools
2
Transport typestdio
Categories
Search WebOther
LicenseMIT
Links
GitHub
  • Connect tools to AI workflows

    Fetch (Web Content & YouTube Transcripts) exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 2 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    156 stars and 13 forks from the linked repository.

fetch-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

bash
# 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.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "fetch-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "fetch-mcp"
      ]
    }
  }
}

Available Tools

  • fetch_url

    Fetch a URL, support HTML, text, and image

  • fetch_youtube_transcript

    Fetch transcript for a Youtube video URL

Use Fetch (Web Content & YouTube Transcripts) MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Fetch (Web Content & YouTube Transcripts) is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Fetch (Web Content & YouTube Transcripts) as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Fetch (Web Content & YouTube Transcripts) MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "fetch-web-content-youtube-transcripts": {
      "command": "npx",
      "args": [
        "-y",
        "fetch-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Fetch (Web Content & YouTube Transcripts) MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Fetch (Web Content & YouTube Transcripts) MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Fetch (Web Content & YouTube Transcripts) to help me with this task?
Fetch (Web Content & YouTube Transcripts)
Sure. I read it.
Here is what I found using Fetch (Web Content & YouTube Transcripts).

Frequently asked questions

What is the Fetch (Web Content & YouTube Transcripts) MCP server used for?

Fetch (Web Content & YouTube Transcripts) is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Fetch (Web Content & YouTube Transcripts) MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Fetch (Web Content & YouTube Transcripts) with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Fetch (Web Content & YouTube Transcripts) MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Fetch (Web Content & YouTube Transcripts) connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Fetch (Web Content & YouTube Transcripts) MCP to TypingMind?

Fetch (Web Content & YouTube Transcripts) runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Fetch (Web Content & YouTube Transcripts) MCP provide in TypingMind?

Fetch (Web Content & YouTube Transcripts) exposes 2 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Fetch (Web Content & YouTube Transcripts) MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Fetch (Web Content & YouTube Transcripts) requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

Related MCP Servers

View all
u14app logo

Deep Research MCP

u14app
OrganizationPopular

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

1.1K
4.6K
0 tools
View details
exa-labs logo

Exa Search

exa-labs
OrganizationPopular

Exa MCP for web search and web crawling!

333
4.4K
0 tools
View details
tryretool logo

Retool

tryretool
CommunityPopular

Retool MCP server. Build internal tools, query databases, and deploy apps via Retool's low-code platform. Integrate with 100+ data sources from AI assistants.

0
3.9K
16 tools
View details
null logo

Brave Search

Unknown
CommunityPopular

Integrate web search and local search capabilities with Brave. Brave Search allows you to seamlessly integrate Brave Search functionality into AI assistants like Claude. By implementing a Model Context Protocol (MCP) server, it enables the AI to leverage Brave Search's web search and local business search capabilities. It provides tools for both general web searches and specific local searches, enhancing the AI assistant's ability to provide relevant and up-to-date information.

0
3.2K
0 tools
View details

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇