Web Scout MCP Server logo

Web Scout MCP Server

Organization
pinkpixel-dev

A powerful MCP server extension providing web search and content extraction capabilities. Integrates DuckDuckGo search functionality and URL content extraction into your MCP environment, enabling AI assistants to search the web and extract webpage content programmatically.

Publisherpinkpixel-dev
Repositoryweb-scout-mcp
LanguageJavaScript
Forks
14
Stars
128
Available tools
2
Transport typestdio
Categories
LicenseApache-2.0
Links
  • Connect tools to AI workflows

    Web Scout MCP Server 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

    128 stars and 14 forks from the linked repository.

MseeP.ai Security Assessment Badge

✨ Features

  • šŸ” DuckDuckGo Search: Fast and privacy-focused web search capability
  • šŸ“„ Content Extraction: Clean, readable text extraction from web pages
  • šŸš€ Parallel Processing: Support for extracting content from multiple URLs simultaneously
  • šŸ’¾ Memory Optimization: Smart memory management to prevent application crashes
  • ā±ļø Rate Limiting: Intelligent request throttling to avoid API blocks
  • šŸ›”ļø Error Handling: Robust error handling for reliable operation

šŸ“¦ Installation

Installing via Smithery

To install Web Scout for Claude Desktop automatically via Smithery:

bash
npx -y @smithery/cli install @pinkpixel-dev/web-scout-mcp --client claude

Global Installation

bash
npm install -g @pinkpixel/web-scout-mcp

Local Installation

bash
npm install @pinkpixel/web-scout-mcp

šŸš€ Usage

Command Line

After installing globally, run:

bash
web-scout-mcp

With MCP Clients

Add this to your MCP client's config.json (Claude Desktop, Cursor, etc.):

json
{
  "mcpServers": {
    "web-scout": {
      "command": "npx",
      "args": [
        "-y",
        "@pinkpixel/web-scout-mcp@latest"
      ]
    }
  }
}

Environment Variables

Set the WEB_SCOUT_DISABLE_AUTOSTART=1 environment variable when embedding the package and calling createServer() yourself. By default running the published entrypoint (for example node dist/index.js or npx @pinkpixel/web-scout-mcp) automatically bootstraps the stdio transport.

🧰 Tools

The server provides the following MCP tools:

šŸ” DuckDuckGoWebSearch

Initiates a web search query using the DuckDuckGo search engine and returns a well-structured list of findings.

Input:

  • query (string): The search query string
  • maxResults (number, optional): Maximum number of results to return (default: 10)

Example:

json
{
  "query": "latest advancements in AI",
  "maxResults": 5
}

Output: A formatted list of search results with titles, URLs, and snippets.

šŸ“„ UrlContentExtractor

Fetches and extracts clean, readable content from web pages by removing unnecessary elements like scripts, styles, and navigation.

Input:

  • url: Either a single URL string or an array of URL strings

Example (single URL):

json
{
  "url": "https://example.com/article"
}

Example (multiple URLs):

json
{
  "url": [
    "https://example.com/article1",
    "https://example.com/article2"
  ]
}

Output: Extracted text content from the specified URL(s).

šŸ› ļø Development

bash
# Clone the repository
git clone https://github.com/pinkpixel-dev/web-scout-mcp.git
cd web-scout-mcp

# Install dependencies
npm install

# Build
npm run build

# Run
npm start

šŸ“š Documentation

For more detailed information about the project, check out these resources:

šŸ“‹ Requirements

  • Node.js >= 18.0.0
  • npm or yarn

šŸ“„ License

This project is licensed under the Apache 2.0 License.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "pinkpixel-dev-web-scout-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@pinkpixel/web-scout-mcp"
      ]
    }
  }
}

Use Web Scout MCP Server MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Web Scout MCP Server 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 Web Scout MCP Server 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 Scout MCP Server 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": {
    "pinkpixel-dev-web-scout-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@pinkpixel/web-scout-mcp"
      ]
    }
  }
}
4

Use it across models

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

Frequently asked questions

What is the Web Scout MCP Server MCP server used for?

Web Scout MCP Server 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 Scout MCP Server MCP with multiple AI models in TypingMind?

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

How do I connect Web Scout MCP Server MCP to TypingMind?

Web Scout MCP Server 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 Web Scout MCP Server MCP provide in TypingMind?

Web Scout MCP Server 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 Web Scout MCP Server MCP?

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

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