Provides web search capabilities using DuckDuckGo's free API to fetch real-time search results and scrape content from web pages for research purposes.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Local Research MCP Serverresearch the latest breakthroughs in quantum computing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Local Research MCP Server
A free, private research assistant for AI development environments that searches the web and scrapes content using DuckDuckGo and Python. This MCP server gives AI assistants the ability to access real-time information while keeping all processing local for complete privacy.
Compatible with:
Claude Desktop - Anthropic's official desktop app
Claude Code - Anthropic's CLI tool for developers
Gemini CLI - Gemini's CLI tool
Cline - VS Code extension for AI-powered coding
Any MCP-compatible client
Features
π Free Web Search: Uses DuckDuckGo's search API without requiring API keys
π Content Extraction: Intelligently extracts clean text from web pages
π Privacy-First: All processing happens locally on your machine
β‘ Fast Integration: Works seamlessly with Claude Desktop via MCP
π οΈ Zero Dependencies: No external services or subscriptions required
Quick Start
Prerequisites
Python 3.10 or higher
One of the compatible AI environments:
Claude Desktop, Claude Code, Google CLI, Cline, or other MCP client
Basic command line knowledge
Installation
Clone this repository:
git clone https://github.com/Unlock-MCP/local-research-server.git cd local-research-serverSet up the environment:
uv init uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activateInstall dependencies:
uv add "mcp[cli]" duckduckgo-search trafilaturaTest the server:
python research_server.py
Configuration
Choose your AI environment:
Claude Desktop
Add this to your config file:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%/Claude/claude_desktop_config.json
Claude Code
Add this to your CLAUDE.md file or use the CLI:
Google AI Studio / Gemini CLI
Configure via your MCP client settings or environment variables.
Cline (VS Code)
Add to your Cline MCP server configuration in VS Code settings.
Replace /path/to/your/local-research-server with the full path to this directory.
Usage
After configuration, restart your AI environment. Connection indicators vary by platform:
Claude Desktop: Look for the plug icon (π)
Claude Code: Server status shown in CLI output
Other platforms: Check your MCP client's connection status
Ask your AI assistant research questions like:
"What are the latest developments in AI research this week?"
"Research current renewable energy trends in Europe"
"Find recent cybersecurity threat reports"
Your AI assistant will automatically use the local server to fetch real-time information.
How It Works
The server implements a single MCP tool that:
Searches the web using DuckDuckGo's free API
Scrapes content from the top search results
Extracts clean, readable text using Trafilatura
Returns formatted content to Claude for analysis
All processing happens locally with no data sent to external services except for the public web searches.
Architecture
Configuration Options
The server accepts these parameters for the research tool:
query(string): The search query or research topicnum_results(int): Number of search results to process (default: 3)
Security Features
Input Validation: Sanitizes search queries
Rate Limiting: Polite delays between web requests
Error Handling: Graceful failure handling
Local Processing: No external data dependencies
Business Applications
This research server is ideal for:
Content Creation: Research-backed article writing
Market Analysis: Real-time competitor and industry research
Due Diligence: Company and investment research
Regulatory Monitoring: Tracking compliance requirements
Extending the Server
Consider these enhancements:
Add RSS feed integration
Implement search result caching
Add domain filtering capabilities
Include publication date extraction
Add multiple search engine support
Troubleshooting
Common Issues
Server not connecting:
Verify the absolute path in your AI client config
Restart your AI environment completely
Check that Python dependencies are installed
No search results:
Verify internet connection
Check DuckDuckGo service status
Try different search queries
Content extraction failing:
Some websites block scraping
Try different search terms for varied sources
Check the console output for specific errors
Contributing
We welcome contributions! Please see our Contributing Guide for details.
License
MIT License - see LICENSE for details.
Related Projects
MCP Docs Server - Local documentation access
Remote MCP Server - Enterprise database access
UnlockMCP Website - MCP tutorials and resources