Skip to main content
Glama
Sign In
enesjakozh

Deep Thinking Assistant

by shark-bot-0118
Verified
GitHub
RedditDiscord
OverviewInspectNewSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

  • Uses .env files for configuration, specifically for storing API keys such as the OpenAI API key required for the server's operation.

  • Integrates with OpenAI API to provide deep thinking and analysis capabilities, supporting multiple AI models including o3-mini and gpt-4 for problem solving, code enhancement, and code review.

Deep Thinking Assistant - Gemini MCP Server

A Gemini API-based MCP server that provides deep thinking and analysis. Works with AI Editor models to provide deeper analysis and insights.

Features

  • Problem analysis from multiple perspectives
  • Integrating Critical and Creative Thinking
  • Practical and concrete proposals
  • Integrating existing knowledge and providing new perspectives
  • Context-sensitive and accurate granularity
  • Critical analysis of the proposed solution and suggestions for improvement

Project Structure

dive_deep/ ├── logs/ # ログファイルディレクトリ ├── dive_deep_server.py # メインサーバーファイル ├── logger_config.py # ロギング設定 ├── prompts.py # プロンプト定義 ├── requirements.txt # 依存関係 ├── .env # 環境変数設定 └── README.md # ドキュメント

set up

  1. Install dependencies:
pip install -r requirements.txt
  1. Set environment variables: Create a .env file with the following content:
GEMINI_API_KEY=your_api_key_here GEMINI_MODEL=gemini-2.0-flash

How to use

Start the server:

python dive_deep_server.py

Available Tools

deep_thinking_agent

It deepens the thought process for solving problems and provides perspectives. This tool provides a deeper understanding and multi-faceted analysis of the problem, and provides guidelines to arrive at better solutions.

Parameters:

  • instructions : Instructions from the user (required)
  • context : the context of your thought process (required)
  • model : The model name to use (default: "gemini-2.0-flash")

enhancement_agent

Analyze your code and provide practical suggestions for improvement. This tool performs a comprehensive analysis of your code in terms of quality, performance, maintainability, and more, and provides actionable improvement suggestions.

Parameters:

  • instructions : instructions for the code being reviewed (required)
  • code : A list of codes (required)
  • model : The model name to use (default: "gemini-2.0-flash")
  • temperature : Temperature parameter at generation (default: 0.7)

final_review_agent

Perform a final code review and suggest improvements. The tool critically analyzes the proposed changes and improvements to identify potential issues and opportunities for further optimization.

Parameters:

  • instructions : instructions for the code being reviewed (required)
  • code : A list of codes (required)
  • model : The model name to use (default: "gemini-2.0-flash")
  • temperature : Temperature parameter at generation (default: 0.7)

Usage Example

  1. Deepening the thought process:
response = deep_thinking_agent( instructions="このアルゴリズムの最適化方法を考えてください", context="現在の実装では時間計算量がO(n^2)となっています", model="gemini-2.0-flash" )
  1. Code improvement suggestions:
response = enhancement_agent( instructions="このコードのパフォーマンスを改善してください", code=["def example():\n # コード内容"], model="gemini-2.0-flash" )
  1. Final Review:
response = final_review_agent( instructions="実装された改善案の最終確認をお願いします", code=["def improved_example():\n # 改善されたコード"], model="gemini-2.0-flash" )

Default System Prompt

Thought-Support Prompts

The server helps you think along these lines:

  1. Problem understanding and structured thinking
    • Understanding the big picture through systems thinking
    • Decomposing a problem using MECE
    • Causal analysis (why-why analysis, fishbone diagram)
    • Stakeholder analysis and requirements organization
  2. Designing and Evaluating Solutions
    • Applying design patterns and architectural principles
    • Quantitative evaluation of trade-offs (cost vs. benefit)
    • Risk analysis and countermeasures (FMEA method)
    • Verification of feasibility (PoC strategy)
  3. Pursuit of technical excellence
    • Clean Architecture principles, loose coupling and high cohesion, proper direction of dependencies, interface abstraction
    • Optimizing code quality - Readability and maintainability - Performance and scalability - Security and robustness
    • Designing a test strategy, considering the test pyramid, boundary values and edge cases, automation and continuous verification
  4. Innovation and Creative Thinking
    • Use Lateral Thinking
    • Idea development using the SCAMPER method
    • Creative problem solving using constraints
    • Integrating new technologies with legacy systems
  5. Optimizing implementation and deployment
    • Phased Implementation Strategy
    • Technical Debt Management and Repayment Plans
    • Change impact analysis
    • Minimizing deployment risks
  6. Continuous improvement and learning
    • Setting KPIs and metrics
    • Establishing a feedback loop
    • Systematizing and sharing knowledge
    • PDCA Cycle
  7. Communication and collaboration
    • Technical clarification
    • Structuring the document
    • Knowledge sharing across teams
    • Facilitating reviews and feedback

Answer Analysis Prompt

Your responses will be analysed based on the following criteria:

  1. Logical consistency and completeness
    • Validity of assumptions and constraints
    • Consistency of logical development
    • The process of drawing conclusions
    • Identifying overlooked elements
    • Falsifiability Test
  2. Technical feasibility and optimality
    • Appropriateness of algorithms and data structures
    • Robustness of the system architecture
    • Performance and Scalability
    • Security and Reliability
    • Maintainability and Extensibility
  3. Implementation and operation
    • Development Efficiency and Productivity
    • Operational burden and costs
    • Monitoring and troubleshooting
    • Versioning and Deployment
    • Effective team collaboration
  4. Risks and challenges
    • Technical constraints and limitations
    • Security Vulnerabilities
    • Performance Bottlenecks
    • Dependency Complexity
    • Potential technical debt
  5. Business Value and Impact
    • Development and operation costs
    • Time to market
    • Impact on user experience
    • Alignment with business requirements
    • Contributing to competitive advantage

The analysis results consist of:

  1. Strengths of the proposal
    • Technical Advantages
    • Efficiency of implementation
    • Business Value
    • Innovative elements
  2. Areas for improvement
    • Technical challenges
    • Implementation Risks
    • Operational concerns
    • Scalability Limitations
  3. Specific improvement proposals
    • Short-term improvements
    • Mid- to long-term optimization
    • Alternative Approach
    • Applying best practices
  4. Additional Considerations
    • Edge cases and exception handling
    • Future Scalability
    • Security Considerations
    • Performance Optimization
  5. Implementation Roadmap
    • Task Prioritization
    • Setting Milestones
    • Define success metrics (KPIs)
    • Risk Mitigation Strategies

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

An OpenAI API-based MCP server that provides deep thinking and analysis capabilities, integrating with AI editor models to deliver comprehensive insights and practical solutions.

  1. 特徴
    1. プロジェクト構造
      1. セットアップ
        1. 使用方法
          1. 利用可能なツール
            1. deep_thinking_agent
            2. enhancement_agent
            3. final_review_agent
          2. 使用例
            1. デフォルトのシステムプロンプト
              1. 思考支援プロンプト
              2. 回答分析プロンプト
            ID: q6o4pu8uem