About Fabric Docker
Fabric Docker is an MCP server published by neosun100 in the Cloud category: all-in-One Docker deployment for Fabric - AI augmentation framework with Web UI, REST API, and MCP Server.
The repository has 1 stars and 0 forks, with the last commit 9 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
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git clone https://github.com/neosun100/fabric-dockerThis 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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README
🧠 Fabric Docker
All-in-One Docker deployment for Fabric - AI augmentation framework with Web UI, REST API, and MCP Server
✨ Features
| Feature | Description |
|---|---|
| 🌐 Web UI | Beautiful Svelte-based web interface for pattern management |
| 🔌 REST API | Full-featured HTTP API with Swagger documentation |
| 🤖 MCP Server | Model Context Protocol server for AI assistant integration |
| 📦 All-in-One | Single container with all services included |
| 🎯 233+ Patterns | Pre-loaded AI prompt patterns for various tasks |
| 🔧 Multi-Model | Support for OpenAI, Anthropic, Gemini, Ollama, and more |
🚀 Quick Start
# Clone the repository
git clone https://github.com/neosun100/fabric-docker.git
cd fabric-docker
# Copy environment file
cp .env.example .env
# Start with Docker Compose
docker compose up -d
# Access the services
# Web UI: http://localhost:5173
# REST API: http://localhost:8180
# Swagger: http://localhost:8180/swagger/index.html
# MCP: http://localhost:8181
📦 Installation
Prerequisites
- Docker 20.10+
- Docker Compose 2.0+
- At least one AI provider API key (OpenAI, Anthropic, etc.)
Method 1: Docker Compose (Recommended)
-
Clone the repository
git clone https://github.com/neosun100/fabric-docker.git cd fabric-docker -
Configure environment
cp .env.example .env # Edit .env and add your API keys -
Start services
docker compose up -d -
Verify deployment
# Check container health docker ps # Test API curl http://localhost:8180/patterns/names
Method 2: Docker Run
# Pull or build the image
docker build -t fabric:latest .
# Run the container
docker run -d \
--name fabric \
-p 5173:8080 \
-p 8180:8180 \
-p 8181:8181 \
-e OPENAI_API_KEY=your-key-here \
-e ANTHROPIC_API_KEY=your-key-here \
-v fabric-config:/root/.config/fabric \
fabric:latest
⚙️ Configuration
Environment Variables
| Variable | Description | Default |
|---|---|---|
PORT |
REST API port | 8180 |
WEB_PORT |
Web UI port (host mapping) | 5173 |
MCP_PORT |
MCP Server port | 8181 |
OPENAI_API_KEY |
OpenAI API key | - |
ANTHROPIC_API_KEY |
Anthropic API key | - |
GEMINI_API_KEY |
Google Gemini API key | - |
OLLAMA_HOST |
Ollama server URL | - |
DEFAULT_MODEL |
Default AI model | gpt-4o |
DEFAULT_VENDOR |
Default AI vendor | openai |
API_KEY |
Optional API authentication | - |
TZ |
Timezone | Asia/Shanghai |
docker-compose.yml
services:
fabric:
build:
context: .
dockerfile: Dockerfile
image: neosun/fabric:latest
container_name: fabric
restart: unless-stopped
ports:
- "5173:8080" # Web UI
- "8180:8180" # REST API
- "8181:8181" # MCP Server
environment:
- OPENAI_API_KEY=${OPENAI_API_KEY:-}
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
- DEFAULT_MODEL=gpt-4o
volumes:
- fabric-config:/root/.config/fabric
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8180/patterns/names"]
interval: 30s
timeout: 10s
retries: 3
volumes:
fabric-config:
📖 Usage
Web UI
Access the web interface at http://localhost:5173:
- Browse and search 233+ patterns
- Execute patterns with custom input
- Manage contexts and sessions
- Real-time chat interface
REST API
# List all patterns
curl http://localhost:8180/patterns/names
# Get a specific pattern
curl http://localhost:8180/patterns/summarize
# Check pattern exists
curl http://localhost:8180/patterns/exists/summarize
# Get available models
curl http://localhost:8180/models/names
# Get configuration
curl http://localhost:8180/config
# Get strategies
curl http://localhost:8180/strategies
API Endpoints
| Endpoint | Method | Description |
|---|---|---|
/patterns/names |
GET | List all pattern names |
/patterns/:name |
GET | Get pattern details |
/patterns/exists/:name |
GET | Check if pattern exists |
/contexts/names |
GET | List all contexts |
/sessions/names |
GET | List all sessions |
/models/names |
GET | List available models |
/config |
GET | Get configuration |
/strategies |
GET | List strategies |
/chat |
POST | Send chat request |
/swagger/index.html |
GET | Swagger UI |
MCP Integration
The MCP server enables AI assistants (like Claude Desktop) to use Fabric patterns directly.
Configure in your MCP client:
{
"mcpServers": {
"fabric": {
"url": "http://localhost:8181"
}
}
}
🏗️ Architecture
┌─────────────────────────────────────────────────────────┐
│ Docker Container │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Web UI │ │ REST API │ │ MCP Server │ │
│ │ (Node) │ │ (Go) │ │ (Python) │ │
│ │ :8080 │ │ :8180 │ │ :8181 │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │ │ │
│ └────────────────┼────────────────┘ │
│ │ │
│ ┌───────────┴───────────┐ │
│ │ Fabric Core │ │
│ │ (233+ Patterns) │ │
│ └───────────────────────┘ │
└─────────────────────────────────────────────────────────┘
│ │ │
Port 5173 Port 8180 Port 8181
🛠️ Tech Stack
| Component | Technology |
|---|---|
| Backend | Go (Gin Framework) |
| Web UI | Svelte + SvelteKit + Tailwind CSS |
| MCP Server | Python (FastAPI + Uvicorn) |
| Process Manager | Supervisor |
| Container | Alpine Linux |
| Build | Multi-stage Docker build |
📁 Project Structure
fabric-docker/
├── Dockerfile # Multi-stage build
├── docker-compose.yml # Compose configuration
├── docker/
│ ├── entrypoint.sh # Container entrypoint
│ ├── supervisord.conf # Process manager config
│ ├── mcp_server.py # MCP server implementation
│ └── nginx.conf # Nginx config (optional)
├── data/
│ ├── patterns/ # 233+ AI patterns
│ └── strategies/ # Prompt strategies
├── web/ # Svelte Web UI
├── cmd/ # Go commands
├── internal/ # Go internal packages
└── docs/ # Documentation
🔧 Troubleshooting
Container shows "unhealthy"
# Check logs
docker logs fabric
# Restart fabric-api service
docker exec fabric supervisorctl restart fabric-api
# Verify ports
docker exec fabric netstat -tlnp
API not responding
# Check if services are running
docker exec fabric supervisorctl status
# Manual restart
docker compose restart
Port conflicts
Edit .env to change port mappings:
PORT=8280
WEB_PORT=5273
MCP_PORT=8281
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
- Fabric - The original AI augmentation framework
- Daniel Miessler - Creator of Fabric
⭐ Star History
📱 Follow Me

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