About ai.smithery/pinkpixel-dev-web-scout-mcp
ai.smithery/pinkpixel-dev-web-scout-mcp is an MCP server in the Search category: search the web and extract clean, readable text from webpages. Process multiple URLs at once to sp….
Install
git clone https://github.com/pinkpixel-dev/web-scout-mcpThis 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.
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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 stringmaxResults(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:
- OVERVIEW.md - Technical overview and architecture
- CONTRIBUTING.md - Guidelines for contributors
- CHANGELOG.md - Version history and changes
📋 Requirements
- Node.js >= 18.0.0
- npm or yarn
📄 License
This project is licensed under the Apache 2.0 License.
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.