
Web Search MCP Server
Enables web search across multiple search engines (DuckDuckGo, Bing, Startpage) with parallel execution and result deduplication. Also provides web page content extraction capabilities.
README
Web Search MCP Server (Standalone)
A Model Context Protocol (MCP) server that provides web search capabilities using multiple search engines (DuckDuckGo, Bing, and Startpage) with parallel execution and result deduplication.
Features
- Multi-engine search: Searches DuckDuckGo, Bing, and Startpage simultaneously
- Parallel execution: All searches run concurrently for faster results
- Result deduplication: Removes duplicate URLs from combined results
- Source attribution: Shows which search engine provided each result
- Comprehensive logging: Logs all operations to
web-search.log
- Standalone: Pre-configured virtual environment included - no setup required
- Two tools available:
SearchWeb
: Multi-engine web searchFetchPageContent
: Extract text content from web pages
Installation
Option 1: Standalone (Pre-configured venv included)
-
Extract the files:
unzip web-search-mcp.zip -d ~/.mcp/
-
Make start script executable:
chmod +x ~/.mcp/web-search/start.sh
-
Add to Q CLI MCP configuration:
q mcp add web-search ~/.mcp/web-search/start.sh
-
Verify installation and test:
q mcp status --name web-search q chat # In chat: "search web for python libraries"
Option 2: Manual Setup (If venv is missing)
-
Navigate to the directory:
cd ~/.mcp/web-search
-
Create virtual environment:
python3 -m venv venv
-
Activate virtual environment and install dependencies:
source venv/bin/activate pip install -r requirements.txt deactivate
-
Make start script executable:
chmod +x start.sh
-
Add to Q CLI MCP configuration:
q mcp add web-search ~/.mcp/web-search/start.sh
-
Test the installation:
q mcp status --name web-search
Files Included
server.py
- Main MCP server codestart.sh
- Startup scriptrequirements.txt
- Python dependenciesvenv/
- Pre-configured virtual environment with all dependenciesREADME.md
- This documentation
Usage
Start a new Q CLI chat session. The server provides two tools:
SearchWeb
Search query: "python web scraping libraries"
FetchPageContent
Fetch content from: "https://example.com"
Logs
All operations are logged to web-search.log
in the server directory with timestamps and detailed information about search requests and results.
Troubleshooting
- Permission denied: Ensure
start.sh
is executable (chmod +x start.sh
) - No search results: Check the log file for error messages
- Debugging: Check
web-search.log
for detailed debugging information
Requirements
- Q CLI with MCP support
- Internet connection for web searches
- macOS/Linux (Python 3.11+ included in venv)
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