This MCP server enables Claude and other compatible AI assistants to perform comprehensive research by integrating web and academic search functionality. It allows AI models to access current information from multiple sources, follow relevant links, and deliver well-structured research results with proper citations.
# Using pip
pip install mcp httpx beautifulsoup4
# Clone the repository
git clone https://github.com/yourusername/claude-deep-research.git
The server works with default settings, but you can customize parameters in deep_research.py:
# Configuration
USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
MAX_CONTENT_SIZE = 8000 # Maximum characters in the final response
MAX_RESULTS = 3 # Maximum number of results to process
Modify your Claude desktop config and restart Claude:
On a Mac, edit the file at ~/Library/Application Support/Claude
:
"search-scholar": {
"command": "<Path to Python>/python",
"args": [
"<Path to deep research>/deep_research.py"
]
}
The deep_research
tool accepts these parameters:
query
(required): The research question or topicsources
(optional): Which sources to use: "web", "academic", or "both" (default)num_results
(optional): Number of sources to examine (default 2, max 3)Can you research the latest developments in quantum computing?
I need comprehensive information about climate change mitigation strategies. Use the deep_research tool to help me.
Research the history and cultural significance of origami using academic sources.
The server guides Claude through a structured research process:
# View logs when running directly
python deep_research.py 2> server.log
# View logs from Claude Desktop (macOS/Linux)
tail -f ~/Library/Logs/Claude/mcp-server-deepresearch.log
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "search-scholar" '{"command":"python","args":["deep_research.py"]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"search-scholar": {
"command": "python",
"args": [
"deep_research.py"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"search-scholar": {
"command": "python",
"args": [
"deep_research.py"
]
}
}
}
3. Restart Claude Desktop for the changes to take effect