Ollama Deep Researcher with Web-MCP

A fork of the Ollama Deep Researcher project that integrates with the web-mcp server for enhanced web search capabilities.

Overview

This project extends the original Ollama Deep Researcher by replacing the default search methods with the web-mcp server. This integration provides:

• More robust web scraping capabilities
• Improved content extraction
• Better handling of dynamic websites

Installation

1. Clone the repository:

   git clone https://github.com/PreistlyPython/ollama-deep-researcher-web.git

2. Install the required dependencies:

   pip install -r requirements.txt

3. Ensure the web-mcp server is running and configured in your MCP settings.

Usage

1. Import the necessary components:

   from assistant import State, Configuration, SearchAPI

2. Configure the assistant to use the web-mcp search:

   config = Configuration(search_api=SearchAPI.WEB_MCP)
   state = State(configuration=config)

3. Use the search functionality:

   results = state.search_web("Your search query")
   print(results)

Features

• Web-MCP Integration: Uses the web-mcp server for improved web scraping
• Knowledge Graph: Builds a graph of related information
• State Management: Keeps track of conversation and search history

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.