1. Conduid
  2. Browser
  3. Web Scout MCP
MCP server · Browser

Web Scout MCP

An MCP server 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.

82Excellent

Scored 9 hours ago · breakdown

About Web Scout MCP

Web Scout MCP is an MCP server published by pinkpixel-dev in the Browser category: an MCP server 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.

The repository has 138 stars and 17 forks, with the last commit 20 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/pinkpixel-dev/web-scout-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Web Scout MCP

Powered by Claude · Grounded in docs

I know everything about Web Scout MCP. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository yesterday. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • !No dynamic code executionSource scan found eval or shell execution. Review how tool inputs reach it before granting credentials.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

1.5.71.5.7 · 11 Jul 2026https://www.npmjs.com/package/@pinkpixel/web-scout-mcp

README

✨ Features

  • 🔍 DuckDuckGo Search: Fast and privacy-focused web search capability
  • 📄 Content Extraction: Clean, readable text extraction from web pages
  • 🚀 Parallel Processing: Support for extracting content from multiple URLs simultaneously
  • 💾 Memory Optimization: Smart memory management to prevent application crashes
  • ⏱️ Rate Limiting: Intelligent request throttling to avoid API blocks
  • 🛡️ Error Handling: Robust error handling for reliable operation

📦 Installation

Installing via Smithery

To install Web Scout for Claude Desktop automatically via Smithery:

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

Global Installation

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

Local Installation

npm install @pinkpixel/web-scout-mcp

🚀 Usage

Command Line

After installing globally, run:

web-scout-mcp

With MCP Clients

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

{
  "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:

🔍 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:

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

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

📄 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):

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

Example (multiple URLs):

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

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

🛠️ Development

# 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

📚 Documentation

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

📋 Requirements

  • Node.js >= 18.0.0
  • npm or yarn

📄 License

This project is licensed under the Apache 2.0 License.

README fetched from the repository yesterday. The original is authoritative.

Questions

About Web Scout MCP

How do I install Web Scout MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Web Scout MCP safe to use with an AI agent?

Its trust score is 82 out of 100 (excellent). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Web Scout MCP still maintained?

Yes — the latest release is 1.5.7 (11 Jul 2026), and the last commit was 20 days ago. The repository has 138 stars and 4 open issues.