Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"claude-deep-research": {
"args": [
"mcp"
],
"command": "uvx"
}
}
}Are you the author?
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An MCP (Model Context Protocol) server that enables comprehensive research capabilities for Claude and other MCP-compatible AI assistants. This server integrates web and academic search functionality, allowing AI models to access current information from multiple sources, follow relevant links, and provide well-structured research results.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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Model Context Protocol (MCP) Python SDK does not enable DNS rebinding protection by default
### Description The Model Context Protocol (MCP) Python SDK does not enable DNS rebinding protection by default for HTTP-based servers. When an HTTP-based MCP server is run on localhost without authentication using `FastMCP` with streamable HTTP or SSE transport, and has not configured `TransportSecuritySettings`, a malicious website could exploit DNS rebinding to bypass same-origin policy restrictions and send requests to the local MCP server. This could allow an attacker to invoke tools or ac
MCP Python SDK vulnerability in the FastMCP Server causes validation error, leading to DoS
A validation error in the MCP SDK can cause an unhandled exception when processing malformed requests, resulting in service unavailability (500 errors) until manually restarted. Impact may vary depending on the deployment conditions, and presence of infrastructure-level resilience measures. Thank you to Rich Harang for reporting this issue.
MCP Python SDK has Unhandled Exception in Streamable HTTP Transport, Leading to Denial of Service
If a client deliberately triggers an exception after establishing a streamable HTTP session, this can lead to an uncaught ClosedResourceError on the server side, causing the server to crash and requiring a restart to restore service. Impact may vary depending on the deployment conditions, and presence of infrastructure-level resilience measures. Thank you to Rich Harang for reporting this issue.
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Research PromptStructured research prompt that guides Claude through a comprehensive research process including initial exploration, preliminary synthesis, follow-up research, comprehensive analysis, and proper APA citations
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An MCP (Model Context Protocol) server that enables comprehensive research capabilities for Claude and other MCP-compatible AI assistants. This server integrates web and academic search functionality, allowing AI models to access current information from multiple sources, follow relevant links, and provide well-structured research results.
Claude Deep Research is a powerful research tool that extends the capabilities of LLMs by providing:
The server follows MCP design principles to provide a seamless integration with Claude and other AI assistants.

# Using pip
pip install mcp httpx beautifulsoup4
# Clone the repository
git clone https://github.com/yourusername/claude-deep-research.git
The server works out of the box with default settings, but you can modify the following parameters in deep_research.py for customization:
# 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 this is at ~/Library/Application Support/Claude
"search-scholar": {
"command": "<Path to Python>/python",
"args": [
"<Path to deep research>/deep_research.py"
]
}
Once installed, you can access the server in Claude Desktop:
deep_research tool directly in conversationThe main deep_research tool accepts the following 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)Example prompts:
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 includes a structured research prompt that guides Claude through a comprehensive research process: