reading-plus-ai/mcp-server-deep-research

Overview

MCP server that enables autonomous deep research, structured query elaboration, and concise reporting, similar to services like OpenAI or Perplexity. It is implemented in Python and integrates with AI models via the Model Context Protocol.

Best for

Best for
Developers building research assistants or knowledge agents

Use cases

• Automating literature reviews and information gathering
• Generating structured research summaries from complex queries
• Integrating deep research capabilities into AI workflows

How to use

Install

python setup.py

Tools exposed

• uv

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "mcp-server-deep-research": {\n      "command": "uvx",\n      "args": [\n        "mcp-server-deep-research"\n      ]\n    }\n  }\n}

Notes

MCP server that enables autonomous deep research, structured query elaboration, and concise reporting, similar to services like OpenAI or Perplexity. It is implemented in Python and integrates with AI models via the Model Context Protocol.

209 stars on GitHub. Last updated 2025-03-25. Licensed MIT.

Use cases

• Automating literature reviews and information gathering
• Generating structured research summaries from complex queries
• Integrating deep research capabilities into AI workflows

Pros

• Open-source and free to use with no vendor lock-in
• Works with standard MCP protocol for easy integration into existing tools
• Python-based, straightforward to set up and customize

Cons

• Requires external API keys for underlying language models
• Limited to text-based outputs without multimedia generation
• Documentation may be sparse for advanced usage scenarios

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.