What can you do with this server?

The MCP Creator Growth server is a learning companion and debugging assistant for AI coding tools that helps developers understand AI-generated code while providing persistent, project-specific debugging memory. Interactive Learning Sessions: Create quizzes based on recent code changes to test understanding of logic, security, performance, architecture, or syntax. The server blocks AI execution until the developer completes the quiz via WebUI, ensuring active learning with structured 5-Why analysis reasoning. Smart Debugging Memory: Automatically search past debugging solutions when errors occur using silent RAG (Retrieval-Augmented Generation). After fixes, the server automatically records debugging experiences—including error type, context, root cause, and solution—building a project-specific knowledge base that prevents redundant problem-solving. Programming Term Reference: Fetch definitions for programming terms from various domains (basics, algorithms, data structures, web dev, etc.) while tracking shown terms to avoid repetition. Project-Specific Memory: Maintains persistent knowledge bases in each project's .mcp-sidecar/ directory, enabling cross-session learning with separate databases per project. Privacy & Local Control: All data is stored locally with no external telemetry. Users have full control—simply delete .mcp-sidecar/ to reset. Works with Claude Code, Cursor, Windsurf, and other MCP-compatible IDEs. Automatic Tool Triggers: Debug tools (debug_search and debug_record) work silently in the background, while learning sessions require explicit user requests.

How do I use MCP Creator Growth?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Creator Growth Quiz me on the changes you just made to ensure I understand the logic." That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP Creator Growth

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A context-aware Model Context Protocol (MCP) server that acts as a learning sidecar for AI coding assistants. It helps developers learn from AI-generated code changes through interactive quizzes and provides agents with a persistent project-specific debugging memory.

License: MIT Python 3.11+ MCP Standard Docker Glama MCP DeepWiki

🌐 Resources

Resource	Description
Glama MCP Marketplace	Official MCP server listing with installation guides
DeepWiki Documentation	AI-generated deep analysis of the codebase
GitHub Repository	Source code, issues, and contributions

🚀 Why Use This?

For	Benefit
Developers	Don't just accept AI code—understand it. Request a quiz to verify your grasp of the logic, security, or performance implications.
AI Agents	Stop solving the same bug twice. The server quietly records debugging solutions and retrieves them automatically when similar errors occur.

📦 Available Tools

Tool	Type	Description
`learning_session`	🎓 Interactive	Opens a WebUI quiz based on recent code changes. Blocks until user completes learning.
`debug_search`	🔍 Silent RAG	Searches project debug history for relevant past solutions. Auto-triggered on errors.
`debug_record`	📝 Silent	Records debugging experiences to project knowledge base. Auto-triggered after fixes.
`term_get`	📚 Reference	Fetches programming terms/concepts. Tracks shown terms to avoid repetition.

Tool Details

Trigger: User explicitly requests (e.g., "Quiz me", "Test my understanding")

Parameters:

Parameter	Type	Default	Description
`project_directory`	string	`"."`	Project directory path
`summary`	string	—	Structured summary of Agent's actions
`reasoning`	object	null	5-Why reasoning (goal, trigger, mechanism, alternatives, risks)
`quizzes`	array	auto-generated	3 quiz questions with options, answer, explanation
`focus_areas`	array	`["logic"]`	Focus areas: logic, security, performance, architecture, syntax
`timeout`	int	600	Timeout in seconds (60-7200)

Returns: {"status": "completed", "action": "HALT_GENERATION"}

Trigger: Auto-called when encountering errors (silent, no UI)

Parameters:

Parameter	Type	Default	Description
`query`	string	—	Error message or description to search
`project_directory`	string	`"."`	Project directory path
`error_type`	string	null	Filter by error type (e.g., ImportError)
`tags`	array	null	Filter by tags
`limit`	int	5	Maximum results (1-20)

Returns: {"results": [...], "count": N}

Trigger: Auto-called after fixing bugs (silent, background)

Parameters:

Parameter	Type	Default	Description
`context`	object	—	Error context: `{error_type, error_message, file, line}`
`cause`	string	—	Root cause analysis
`solution`	string	—	Solution that worked
`project_directory`	string	`"."`	Project directory path
`tags`	array	null	Tags for categorization

Returns: {"ok": true, "id": "..."}

Available Domains: programming_basics, data_structures, algorithms, software_design, web_development, version_control, testing, security, databases, devops

Parameters:

Parameter	Type	Default	Description
`project_directory`	string	`"."`	Project directory path
`count`	int	3	Number of terms (1-5)
`domain`	string	null	Filter by domain

Returns: {"terms": [...], "count": N, "remaining": N}

🛠️ Installation

One-Line Install (Recommended)

curl -fsSL https://raw.githubusercontent.com/SunflowersLwtech/mcp_creator_growth/main/scripts/install.sh | bash

irm https://raw.githubusercontent.com/SunflowersLwtech/mcp_creator_growth/main/scripts/install.ps1 | iex

The installer will:

Auto-detect your Python environment (uv → conda → venv)
Clone the repository to ~/mcp-creator-growth
Create virtual environment and install dependencies
Print the exact command to configure your IDE

Manual Installation

Prerequisites: Python 3.11+ or uv

# 1. Clone the repository git clone https://github.com/SunflowersLwtech/mcp_creator_growth.git cd mcp_creator_growth # 2. Create virtual environment and install # Using uv (recommended) uv venv --python 3.11 mcp-creator-growth source mcp-creator-growth/bin/activate # macOS/Linux # mcp-creator-growth\Scripts\activate # Windows uv pip install -e '.[dev]' # Or using standard venv python -m venv mcp-creator-growth source mcp-creator-growth/bin/activate # macOS/Linux # mcp-creator-growth\Scripts\activate # Windows pip install -e '.[dev]'

Docker Installation

Prerequisites: Docker installed on your system

# 1. Pull from Docker Hub docker pull sunflowerslwtech/mcp-creator-growth:latest # Or build locally git clone https://github.com/SunflowersLwtech/mcp_creator_growth.git cd mcp_creator_growth docker build -t mcp-creator-growth . # 2. Run with Docker docker run -i mcp-creator-growth # 3. Or use Docker Compose docker-compose up -d

For detailed Docker usage, persistent storage, and Claude Desktop integration, see DOCKER.md.

⚙️ IDE Configuration

Claude Code (CLI) — One Command Setup

After installation, configure your AI coding IDE to use this MCP server.

Claude Code

Option 1: CLI (Recommended)

# macOS / Linux claude mcp add mcp-creator-growth -- ~/mcp-creator-growth/mcp-creator-growth/bin/mcp-creator-growth # Windows claude mcp add mcp-creator-growth -- %USERPROFILE%\mcp-creator-growth\mcp-creator-growth\Scripts\mcp-creator-growth.exe

Option 2: Config File

Add to ~/.claude.json:

{ "mcpServers": { "mcp-creator-growth": { "command": "~/mcp-creator-growth/mcp-creator-growth/bin/mcp-creator-growth" } } }

For Windows:

{ "mcpServers": { "mcp-creator-growth": { "command": "C:\\Users\\YourName\\mcp-creator-growth\\mcp-creator-growth\\Scripts\\mcp-creator-growth.exe" } } }

Example paths:

Unix (uv): ~/mcp-creator-growth/mcp-creator-growth/bin/mcp-creator-growth
Windows (uv): C:\\Users\\YourName\\mcp-creator-growth\\mcp-creator-growth\\Scripts\\mcp-creator-growth.exe
Windows (conda): C:\\Users\\YourName\\anaconda3\\envs\\mcp-creator-growth\\Scripts\\mcp-creator-growth.exe

Path breakdown (Unix example):

~/mcp-creator-growth → repository directory
mcp-creator-growth → virtual environment directory created by uv/venv
bin/mcp-creator-growth → executable

Cursor

Add to Cursor MCP settings (Settings → MCP → Add Server):

{ "mcp-creator-growth": { "command": "~/mcp-creator-growth/mcp-creator-growth/bin/mcp-creator-growth" } }

For Windows:

{ "mcp-creator-growth": { "command": "C:\\Users\\YourName\\mcp-creator-growth\\mcp-creator-growth\\Scripts\\mcp-creator-growth.exe" } }

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{ "mcpServers": { "mcp-creator-growth": { "command": "~/mcp-creator-growth/mcp-creator-growth/bin/mcp-creator-growth" } } }

Docker Configuration

To use Docker with any MCP-compatible IDE:

{ "mcpServers": { "mcp-creator-growth": { "command": "docker", "args": [ "run", "-i", "--rm", "-v", "/path/to/your/project:/workspace", "-w", "/workspace", "mcp-creator-growth" ] } } }

See DOCKER.md for detailed Docker configuration examples for Claude Desktop, Cursor, and other IDEs.

Other IDEs

For any MCP-compatible IDE, use these settings:

Command: <install-path>/mcp-creator-growth/bin/mcp-creator-growth (or mcp-creator-growth\Scripts\mcp-creator-growth.exe on Windows)
Transport: stdio

After configuration, restart your IDE.

Usage

Available Tools

Tool	Trigger	For	Returns
`learning_session`	User explicit request	User	`{status, action}` - minimal
`debug_search`	Automatic (on error)	Agent	Compact summaries
`debug_record`	Automatic (after fix)	Agent	`{ok, id}` - minimal

For Users: Learning Session

Say to your AI assistant:

"Quiz me on this change"
"Test my understanding"
"Help me learn about what you did"

The agent will create an interactive learning card and wait until you complete it.

Note: Quiz scores are saved locally for your self-tracking but are NOT returned to the agent - this keeps the context clean.

For Agents: Debug Tools

The debug tools work silently in the background:

Search first: When encountering errors, agent searches past solutions
Record after: When fixing errors, agent records the solution
Progressive disclosure: Returns compact summaries, not full records
Fast lookups: Uses inverted index for keyword-based searches

Updating

One-Line Update (Recommended)

The remote update script automatically detects your installation and works with any path format (including Chinese/non-ASCII paths):

curl -fsSL https://raw.githubusercontent.com/SunflowersLwtech/mcp_creator_growth/main/scripts/update.sh | bash

irm https://raw.githubusercontent.com/SunflowersLwtech/mcp_creator_growth/main/scripts/update.ps1 | iex

The update script will:

Auto-detect your installation location (supports multiple installations)
Pull the latest changes from the repository
Force-reinstall dependencies to ensure version synchronization
Verify installation integrity and report any issues
Detect if MCP server is in use and provide clear instructions

Why remote update?
✅ Works with Chinese/non-ASCII paths without cd navigation
✅ Always uses the latest update logic from the repository
✅ Auto-detects installation location even if you forgot where it is
✅ Handles multiple installations gracefully

Local Update (Alternative)

macOS / Linux:

~/mcp-creator-growth/scripts/update.sh

Windows (PowerShell):

~\mcp-creator-growth\scripts\update.ps1

Manual Update

# Navigate to installation directory cd ~/mcp-creator-growth # or your custom installation path # Pull latest changes git pull origin main # Update dependencies # Using uv source mcp-creator-growth/bin/activate # macOS/Linux # mcp-creator-growth\Scripts\activate # Windows uv pip install -e '.[dev]' --upgrade # Or using standard venv source mcp-creator-growth/bin/activate # macOS/Linux # mcp-creator-growth\Scripts\activate # Windows pip install -e '.[dev]' --upgrade

🖼️ Screenshots

Learning Session WebUI

WebUI Preview

🔒 Security & Privacy

Aspect	Details
Local First	All data stored in `.mcp-sidecar/` directory within your project
No Telemetry	Zero data sent to external servers
Full Control	Delete `.mcp-sidecar/` anytime to reset all data

🔮 Roadmap

We're building toward a Personalized Learning Center that grows with you. Here's what's coming:

🔍 Advanced Search & Indexing (v1.2)

Feature	Description
SQLite FTS5	Full-text search with Chinese support, prefix matching, and boolean queries
BM25 Ranking	Industry-standard relevance scoring for better search results
Semantic Search	Vector embeddings for meaning-based matching (e.g., "权限错误" finds "permission denied")
Cross-project Search	Search debug experiences across all your projects

📱 Mobile App (v2.0)

Feature	Description
Learning History Sync	Access your quiz history and learning progress on mobile
Spaced Repetition	Smart review scheduling based on forgetting curves
Offline Mode	Learn anywhere, sync when connected
Push Notifications	Gentle reminders to review concepts you're forgetting

🎯 Personalized Learning Center (v2.5)

Feature	Description
Knowledge Graph	Visual map of concepts you've learned and their connections
Weakness Analysis	AI identifies areas where you struggle and suggests focused practice
Learning Streaks	Gamification to keep you motivated
Team Insights	(Optional) Share anonymized learning patterns with your team

🤖 AI Enhancements (v3.0)

Feature	Description
Adaptive Quizzes	Questions adjust difficulty based on your performance
Code Pattern Recognition	Learn from patterns in your own codebase
Multi-language Support	Explanations in your preferred language
Voice Interface	"Hey Claude, quiz me on what we did yesterday"

Want to influence the roadmap? Open an issue or join the discussion!

🔧 Environment Variables

Variable	Default	Description
`MCP_DEBUG`	`false`	Enable debug logging (`true`, `1`, `yes`, `on`)
`MCP_TIMEOUT`	`120000`	MCP server startup timeout in ms
`MAX_MCP_OUTPUT_TOKENS`	`25000`	Maximum tokens for MCP output

🤝 Contributing

We welcome contributions! Please follow these steps:

Fork the repository
Create a feature branch: git checkout -b feature/amazing-feature
Install dev dependencies: uv pip install -e '.[dev]'
Make changes and run tests: pytest
Submit a Pull Request

See CONTRIBUTING.md for detailed guidelines.

📬 Contact

Channel	Address
Email	sunflowers0607@outlook.com
Email	weiliu0607@gmail.com
GitHub Issues	Open an Issue

📄 License

This project is licensed under the MIT License.

MCP Creator Growth

🌐 Resources

🚀 Why Use This?

📦 Available Tools

Tool Details

🛠️ Installation

One-Line Install (Recommended)

Manual Installation

Docker Installation

⚙️ IDE Configuration

Claude Code (CLI) — One Command Setup

Claude Code

Cursor

Windsurf

Docker Configuration

Other IDEs

Usage

Available Tools

For Users: Learning Session

For Agents: Debug Tools

Updating

One-Line Update (Recommended)

Local Update (Alternative)

Manual Update

🖼️ Screenshots

Learning Session WebUI

🔒 Security & Privacy

🔮 Roadmap

🔍 Advanced Search & Indexing (v1.2)

📱 Mobile App (v2.0)

🎯 Personalized Learning Center (v2.5)

🤖 AI Enhancements (v3.0)

🔧 Environment Variables

🤝 Contributing

📬 Contact

📄 License

Resources

Tools

Latest Blog Posts

MCP directory API