MCP Platform
📚 Documentation • 💬 Discord Community • 🚀 Quick Start
The definitive platform for deploying Model Context Protocol (MCP) servers in production.
Zero-configuration deployment of production-ready MCP servers with Docker containers, comprehensive CLI tools, intelligent caching, and enterprise-grade management features. Focus on AI integration, not infrastructure setup.
MCP Server Templates (Legacy)
⚠️ This version is in maintenance mode. Please migrate to MCP Platform for latest features and updates.
� Migrate to MCP Platform • 💬 Discord Community • � Legacy Docs
Deploy Model Context Protocol (MCP) servers in seconds, not hours.
Zero-configuration deployment of production-ready MCP servers with Docker containers, comprehensive CLI tools, and intelligent caching. Focus on AI integration, not infrastructure setup.
🚀 Quick Start
# Install MCP Templates
pip install mcp-platform
# List available templates
mcpp list
# Deploy instantly
mcpp deploy demo
# View deployment
mcpp logs demo
That's it! Your MCP server is running at http://localhost:8080
⚡ Why MCP Templates?
Perfect for: AI developers, data scientists, DevOps teams building with MCP.
🌟 Key Features
🖱️ One-Click Deployment
Deploy MCP servers instantly with pre-built templates—no Docker knowledge required.
🔍 Smart Tool Discovery
Automatically finds and showcases every tool your server offers.
🧠 Intelligent Caching
6-hour template caching with automatic invalidation for lightning-fast operations.
💻 Powerful CLI
Comprehensive command-line interface for deployment, management, and tool execution.
🛠️ Flexible Configuration
Configure via JSON, YAML, environment variables, CLI options, or override parameters.
📦 Growing Template Library
Ready-to-use templates for common use cases: filesystem, databases, APIs, and more.
📚 Installation
PyPI (Recommended)
pip install mcp-platform
Docker
docker run --privileged -it dataeverything/mcp-server-templates:latest deploy demo
From Source
git clone https://github.com/DataEverything/mcp-server-templates.git
cd mcp-server-templates
pip install -r requirements.txt
🎯 Common Use Cases
Deploy with Custom Configuration
# Basic deployment
mcpp deploy filesystem --config allowed_dirs="/path/to/data"
# Advanced overrides
mcpp deploy demo --override metadata__version=2.0 --transport http
Manage Deployments
# List all deployments
mcpp list --deployed
# Stop a deployment
mcpp stop demo
# View logs
mcpp logs demo --follow
Template Development
# Create new template
mcpp create my-template
# Test locally
mcpp deploy my-template --backend mock
🏗️ Architecture
┌─────────────┐ ┌───────────────────┐ ┌─────────────────────┐
│ CLI Tool │───▶│ DeploymentManager │───▶│ Backend (Docker) │
│ (mcpp) │ │ │ │ │
└─────────────┘ └───────────────────┘ └─────────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────┐ ┌───────────────────┐ ┌─────────────────────┐
│ Template │ │ CacheManager │ │ Container Instance │
│ Discovery │ │ (6hr TTL) │ │ │
└─────────────┘ └───────────────────┘ └─────────────────────┘
Configuration Flow: Template Defaults → Config File → CLI Options → Environment Variables
📦 Available Templates
🛠️ Configuration Examples
Basic Configuration
mcpp deploy filesystem --config allowed_dirs="/home/user/data"
Advanced Configuration
mcpp deploy gitlab \
--config gitlab_token="$GITLAB_TOKEN" \
--config read_only_mode=true \
--override metadata__version=1.2.0 \
--transport stdio
Configuration File
{
"allowed_dirs": "/home/user/projects",
"log_level": "DEBUG",
"security": {
"read_only": false,
"max_file_size": "100MB"
}
}
mcpp deploy filesystem --config-file myconfig.json
🔧 Template Development
Creating Templates
-
Use the generator:
mcpp create my-template -
Define template.json:
{ "name": "My Template", "description": "Custom MCP server", "docker_image": "my-org/my-mcp-server", "transport": { "default": "stdio", "supported": ["stdio", "http"] }, "config_schema": { "type": "object", "properties": { "api_key": { "type": "string", "env_mapping": "API_KEY", "sensitive": true } } } } -
Test and deploy:
mcpp deploy my-template --backend mock
Full template development guide →
� Migration to MCP Platform
This repository has evolved into MCP Platform with enhanced features and better architecture.
Why We Moved
- Better Naming: "MCP Platform" better reflects the comprehensive nature of the project
- Enhanced Architecture: Improved codebase structure and performance
- Expanded Features: More deployment options, better tooling, enhanced templates
- Future Growth: Better positioned for upcoming MCP ecosystem developments
What Stays the Same
- ✅ All your existing configurations work unchanged
- ✅ Same Docker images and templates
- ✅ Same deployment workflows
- ✅ Full backward compatibility during transition
Migration Steps
-
Install new package:
pip uninstall mcp-templates pip install mcp-platform -
Update commands:
# Old command mcpp deploy demo # New command (everything else identical) mcpp deploy demo -
Update documentation bookmarks:
- New docs: https://data-everything.github.io/MCP-Platform/
- New repository: https://github.com/Data-Everything/MCP-Platform
Support Timeline
- Current (Legacy) Package: Security updates only through 2025
- New Platform: Active development, new features, full support
- Migration Support: Available through Discord and GitHub issues
�📖 Documentation (Legacy)
- Getting Started - Installation and first deployment
- CLI Reference - Complete command documentation
- Template Guide - Creating and configuring templates
- User Guide - Advanced usage and best practices
🤝 Community
- Discord Server - Get help and discuss features
- GitHub Issues - Report bugs and request features
- Discussions - Share templates and use cases
📝 License
This project is licensed under the Elastic License 2.0.
🙏 Acknowledgments
Built with ❤️ for the MCP community. Thanks to all contributors and template creators!