MCP Server for Deep Research is a tool designed for conducting comprehensive research on complex topics. It helps you explore questions in depth, find relevant sources, and generate structured research reports with proper citations. This personal Research Assistant transforms research questions into comprehensive, well-cited reports.
Download Claude Desktop
Install the MCP Server
python setup.py
The Deep Research MCP Server guides you through a complete research workflow:
Question Elaboration
Subquestion Generation
Web Search Integration
Content Analysis
Report Generation
You can modify the MCP server configuration in the Claude Desktop configuration files:
~/Library/Application\ Support/Claude/claude_desktop_config.json
%APPDATA%/Claude/claude_desktop_config.json
For published servers:
"mcpServers": {
"mcp-server-deep-research": {
"command": "uvx",
"args": [
"mcp-server-deep-research"
]
}
}
You can watch a demonstration of the MCP Server for Deep Research on YouTube: https://youtu.be/_a7sfo5yxoI
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 > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
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 explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.