Ddg

A web-based search interface using DuckDuckGo's search API, built with Python and Gradio.

Docker Setup

Prerequisites

• Docker installed on your system
• Git (optional, for cloning the repository)

Building the Docker Image

1. Clone the repository (if you haven't already):

git clone <repository-url>
cd ddg_mcp_server

2. Build the Docker image:

docker build -t ddg-mcp-server .

Running the Container

Run the container with port 7860 mapped to your host:

docker run -p 7860:7860 ddg-mcp-server

The application will be available at:

• http://localhost:7860
• http://127.0.0.1:7860

Troubleshooting

If you cannot connect to the application:

1. Verify the container is running:

docker ps

2. Check the container logs:

docker logs $(docker ps -q)

3. Try stopping any existing containers and starting fresh:

docker stop $(docker ps -q)
docker run -p 7860:7860 ddg-mcp-server

Features

• Web-based search interface using DuckDuckGo
• Real-time search results with full content
• Markdown-formatted output
• Configurable number of results
• AI-powered content summarization (see SUMMARIZATION.md for details)

Development

The application is built with:

• Python 3.10
• Gradio for the web interface
• DuckDuckGo Search API
• BeautifulSoup4 for web scraping
• Markdownify for content conversion

API Configuration for Summarization

This application supports content summarization using OpenAI's API or any compatible API service. To enable this feature:

1. Copy the .env.example file to .env:

cp .env.example .env

2. Edit the .env file and set your API credentials:

OPENAI_API_URL=https://api.openai.com/v1
ACCESS_TOKEN=your_api_key_here

Notes:

• OPENAI_API_URL defaults to the official OpenAI API server if not specified
• ACCESS_TOKEN is required for the summarization feature to work
• You can use any OpenAI-compatible API by changing the OPENAI_API_URL

Running with Docker and API Credentials

To run the Docker container with your API credentials:

docker run -p 7860:7860 \
  -e OPENAI_API_URL="https://api.openai.com/v1" \
  -e ACCESS_TOKEN="your_api_key_here" \
  ddg-mcp-server

Testing the API Connection

After configuring your API credentials, you can test if the connection works correctly:

python main.py --test-api

This will validate your API credentials without starting the full server.

Model Configuration

The AI model used for summarization can be configured in the config.py file:

# Default model to use for summarization
DEFAULT_MODEL = "gpt-4.1-turbo"

For detailed instructions on model configuration, see SUMMARIZATION.md.