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MCP verified MIT Self-run

Mcp Server Deep Research

mcp-reading-plus-ai-mcp-server-deep-research · by reading-plus-ai

MCP server from reading-plus-ai/mcp-server-deep-research.

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Install

$ agentstack add mcp-reading-plus-ai-mcp-server-deep-research

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
stale · 1y ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

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

[](VIDEOURL) Youtube: https://youtu.be/a7sfo5yxoI

  1. Download Claude Desktop
  1. Install and Set Up
  • On macOS, run the following command in your terminal:

``bash python setup.py ``

  1. 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
  1. Subquestion Generation
  • Creates focused subquestions that address different aspects
  • Ensures comprehensive coverage of the main topic
  • Provides structure for systematic research
  1. 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
  1. Content Analysis
  • Evaluates information quality and relevance
  • Synthesizes findings from multiple sources
  • Provides proper citations for all sources
  1. 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

``bash uv sync ``

  1. Build Distributions

``bash uv build `` Generates source and wheel distributions in the dist/ directory.

  1. Publish to PyPI

``bash 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.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.