Templates
FreeNot checkedA flexible platform that provides Docker & Kubernetes backends, a lightweight CLI (mcpt), and client utilities for seamless MCP integration. Spin up servers fro
About
A flexible platform that provides Docker & Kubernetes backends, a lightweight CLI (mcpt), and client utilities for seamless MCP integration. Spin up servers from templates, route requests through a single endpoint with load balancing, and support both deployed (HTTP) and local (stdio) transports — all with sensible defaults and YAML-based configs.
README
⚠️ IMPORTANT: This repository has been renamed and moved to MCP Platform
What changed:
- New Repository: Data-Everything/MCP-Platform
- New Package:
pip install mcp-platform(replacesmcp-templates)- New CLI:
mcppcommand (replacesmcpt)- Enhanced Features: Improved architecture and expanded capabilities
Migration is easy:
# Uninstall old package pip uninstall mcp-templates # Install new package pip install mcp-platform # Use new command (all your configs work the same!) mcpp deploy demo # instead of mcpt deploy demo
MCP Server Templates (Legacy)
⚠️ This version is in maintenance mode. Please migrate to MCP Platform for latest features and updates.
Version Python Versions License Discord
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-templates
# List available templates
mcpt list
# Deploy instantly
mcpt deploy demo
# View deployment
mcpt logs demo
That's it! Your MCP server is running at http://localhost:8080
⚡ Why MCP Templates?
| Traditional MCP Setup | With MCP Templates |
|---|---|
| ❌ Complex configuration | ✅ One-command deployment |
| ❌ Docker expertise required | ✅ Zero configuration needed |
| ❌ Manual tool discovery | ✅ Automatic detection |
| ❌ Environment setup headaches | ✅ Pre-built containers |
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-templates
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
mcpt deploy filesystem --config allowed_dirs="/path/to/data"
# Advanced overrides
mcpt deploy demo --override metadata__version=2.0 --transport http
Manage Deployments
# List all deployments
mcpt list --deployed
# Stop a deployment
mcpt stop demo
# View logs
mcpt logs demo --follow
Template Development
# Create new template
mcpt create my-template
# Test locally
mcpt deploy my-template --backend mock
🏗️ Architecture
┌─────────────┐ ┌───────────────────┐ ┌─────────────────────┐
│ CLI Tool │───▶│ DeploymentManager │───▶│ Backend (Docker) │
│ (mcpt) │ │ │ │ │
└─────────────┘ └───────────────────┘ └─────────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────┐ ┌───────────────────┐ ┌─────────────────────┐
│ Template │ │ CacheManager │ │ Container Instance │
│ Discovery │ │ (6hr TTL) │ │ │
└─────────────┘ └───────────────────┘ └─────────────────────┘
Configuration Flow: Template Defaults → Config File → CLI Options → Environment Variables
📦 Available Templates
| Template | Description | Transport | Use Case |
|---|---|---|---|
| demo | Hello world MCP server | HTTP, stdio | Testing & learning |
| filesystem | Secure file operations | stdio | File management |
| gitlab | GitLab API integration | stdio | CI/CD workflows |
| github | GitHub API integration | stdio | Development workflows |
| zendesk | Customer support tools | HTTP, stdio | Support automation |
🛠️ Configuration Examples
Basic Configuration
mcpt deploy filesystem --config allowed_dirs="/home/user/data"
Advanced Configuration
mcpt 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"
}
}
mcpt deploy filesystem --config-file myconfig.json
🔧 Template Development
Creating Templates
Use the generator:
mcpt create my-templateDefine 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:
mcpt 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-platformUpdate commands:
# Old command mcpt deploy demo # New command (everything else identical) mcpp deploy demoUpdate 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!
Installing Templates
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/Data-Everything/mcp-server-templatesFAQ
Is Templates MCP free?
Yes, Templates MCP is free — one-click install via Unyly at no cost.
Does Templates need an API key?
No, Templates runs without API keys or environment variables.
Is Templates hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Templates in Claude Desktop, Claude Code or Cursor?
Open Templates on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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