Web Content Pick logo

Web Content Pick

Community
kilicmu

A tool for extracting structured content from web pages with customizable selectors and crawling options

Publisherkilicmu
Repositorymcp-web-content-pick
LanguageTypeScript
Forks
0
Stars
1
Available tools
1
Transport typestdio, streamable-http
Categories
Browser AutomationSearch Web
LicenseMIT
Links
GitHub
  • Connect tools to AI workflows

    Web Content Pick exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 1 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

    1 stars and 0 forks from the linked repository.

@modelcontextprotocol/web-content-pick

A powerful tool for extracting structured content from web pages with customizable selectors and crawling options. Part of the Model Context Protocol toolkit.

Features

  • 🌐 Extract structured content from any web page
  • 🎯 Customizable CSS selectors for content targeting
  • 🌲 Recursive crawling with depth control
  • 🔄 Automatic retry mechanism
  • ⚡ Fast and efficient processing
  • 📝 Clean, hierarchical output format

Usage

  1. install the tool with npm install -g mcp-web-content-pick

  2. add config in claude_desktop_config.json

json
{
  "mcpServers": {
    "web_content_search": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-web-content-pick"
      ]
    }
  }
}

Demo

demo

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "web_content_search": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-web-content-pick"
      ]
    }
  }
}

Available Tools

  • web-content-pick

    Extracts structured content from a given web URL, providing a comprehensive analysis of the page structure. Returns organized data including headings, paragraphs, links, images, tables, and metadata. Ideal for content analysis, web scraping, and generating structured representations of web pages. Supports HTML parsing with clean, hierarchical output format.

Use Web Content Pick MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Web Content Pick is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. You can run MCP locally on your device or connect to a remote MCP server URL.

Option 1: 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 Web Content Pick 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 Web Content Pick 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": {
    "web-content-pick": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-web-content-pick"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Web Content Pick 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 Web Content Pick 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 Web Content Pick to help me with this task?
Web Content Pick
Sure. I read it.
Here is what I found using Web Content Pick.

Option 2: Add an MCP server URL

Use this when Web Content Pick is already hosted remotely or your team wants one shared connector that multiple users can access.

1

Open MCP connectors

In TypingMind, go to Plugins, open MCP connectors, then choose Add URL.

  1. Open TypingMind in your browser.
  2. Go to Plugins.
  3. Open MCP connectors.
  4. Click Add URL.
TypingMind Add Custom MCP Server URL form
2

Paste the server URL

Enter your server URL in the Server URL field. Add a connection name, description, icon, custom HTTP headers, or OAuth client settings if the server requires them.

  1. Paste your server URL into the Server URL field.
  2. Enter a connection name for Web Content Pick.
  3. Add a description and icon if you want it to be easier to identify.
  4. Add custom HTTP headers or OAuth client details if the server requires authentication.
3

Create the connection

Click Create connection, then return to the Plugins list and confirm the new MCP connection is active.

  1. Click Create connection.
  2. Return to the MCP connectors list.
  3. Confirm the Web Content Pick connection appears as active.
  4. Refresh the plugin list if the connection does not appear immediately.
4

Switch models without reconnecting

Start a chat with your preferred model, enable the Web Content Pick tools from Plugins, and switch to another model whenever needed. The MCP connection stays available to the TypingMind workspace.

  1. Start a new chat in TypingMind.
  2. Select the AI model you want to use.
  3. Enable the Web Content Pick tools from Plugins.
  4. Ask the model to use the tool when needed.
  5. Switch to another AI model and reuse the same MCP connection.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Web Content Pick to help me with this task?
Web Content Pick
Sure. I read it.
Here is what I found using Web Content Pick.

Frequently asked questions

What is the Web Content Pick MCP server used for?

Web Content Pick 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 Web Content Pick MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Web Content Pick 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 Web Content Pick 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 Web Content Pick connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Web Content Pick MCP to TypingMind?

Web Content Pick can be connected in TypingMind with the local MCP connector or by adding a remote MCP server URL. Use the local connector when the server needs access to files, apps, or private resources on your device, and use a server URL when the MCP server is hosted remotely.

What tools does Web Content Pick MCP provide in TypingMind?

Web Content Pick exposes 1 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 Web Content Pick MCP?

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

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