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MCP server · AI

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

Search the web for information effortlessly. Leverage the power of the Tavily API to enhance your research capabilities with maximum efficiency. Configure your search parameters and get started quickly with this intuitive tool.

Unclaimed MIT last commit a year ago rag
63Good

Scored 4 months ago · breakdown

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

reading-plus-ai/mcp-server-deep-research is an MCP server published by reading-plus-ai in the AI category: search the web for information effortlessly. Leverage the power of the Tavily API to enhance your research capabilities with maximum efficiency. Configure your search parameters and get started quickly with this intuitive tool. It has been installed 0 times through Conduid.

The repository has 210 stars and 26 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx mcp-server-deep-research

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

MCP Server for Deep Research

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.

Your personal Research Assistant, turning research questions into comprehensive, well-cited reports.

🚀 Try it Out

Watch the demo Youtube: https://youtu.be/_a7sfo5yxoI

  1. Download Claude Desktop

  2. Install and Set Up

    • On macOS, run the following command in your terminal:
    python setup.py
    
  3. Start Researching

    • Select the deep-research prompt template from MCP
    • Begin your research by providing a research question

Features

The Deep Research MCP Server offers a complete research workflow:

  1. Question Elaboration

    • Expands and clarifies your research question
    • Identifies key terms and concepts
    • Defines scope and parameters
  2. Subquestion Generation

    • Creates focused subquestions that address different aspects
    • Ensures comprehensive coverage of the main topic
    • Provides structure for systematic research
  3. Web Search Integration

    • Uses Claude's built-in web search capabilities
    • Performs targeted searches for each subquestion
    • Identifies relevant and authoritative sources
    • Collects diverse perspectives on the topic
  4. Content Analysis

    • Evaluates information quality and relevance
    • Synthesizes findings from multiple sources
    • Provides proper citations for all sources
  5. Report Generation

    • Creates well-structured, comprehensive reports as artifacts
    • Properly cites all sources used
    • Presents a balanced view with evidence-based conclusions
    • Uses appropriate formatting for clarity and readability

📦 Components

Prompts

  • deep-research: Tailored for comprehensive research tasks with a structured approach

⚙️ Modifying the Server

Claude Desktop Configurations

  • macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json

Development (Unpublished Servers)

"mcpServers": {
  "mcp-server-deep-research": {
    "command": "uv",
    "args": [
      "--directory",
      "/Users/username/repos/mcp-server-application/mcp-server-deep-research",
      "run",
      "mcp-server-deep-research"
    ]
  }
}

Published Servers

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

🛠️ Development

Building and Publishing

  1. Sync Dependencies

    uv sync
    
  2. Build Distributions

    uv build
    

    Generates source and wheel distributions in the dist/ directory.

  3. Publish to PyPI

    uv publish
    

🤝 Contributing

Contributions are welcome! Whether you're fixing bugs, adding features, or improving documentation, your help makes this project better.

📜 License

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

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

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

How do I install reading-plus-ai/mcp-server-deep-research?

Run npx mcp-server-deep-research, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is reading-plus-ai/mcp-server-deep-research safe to use with an AI agent?

Its trust score is 63 out of 100 (good). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is reading-plus-ai/mcp-server-deep-research still maintained?

The last commit was a year ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.