Data-Everything/mcp-server-templates

Overview

A platform for deploying and managing MCP (Model Context Protocol) servers using Docker or Kubernetes backends. It provides a CLI (mcpt) and client utilities to spin up servers from templates, route requests through a single endpoint with load balancing, and support both HTTP and stdio transports via YAML configuration.

Best for

Best for
Developers building MCP-based services who need a quick, configurable deployment and routing layer

Use cases

• Quickly deploy MCP servers from predefined templates
• Route and load balance requests across multiple MCP endpoints
• Integrate MCP services with container orchestration (Docker/K8s)

How to use

Install

pip install mcp-templates

Tools exposed

• mcpt

Example client config

{\n  "allowed_dirs": "/home/user/projects",\n  "log_level": "DEBUG",\n  "security": {\n    "read_only": false,\n    "max_file_size": "100MB"\n  }\n}

Notes

A platform for deploying and managing MCP (Model Context Protocol) servers using Docker or Kubernetes backends. It provides a CLI (mcpt) and client utilities to spin up servers from templates, route requests through a single endpoint with load balancing, and support both HTTP and stdio transports via YAML configuration.

18 stars on GitHub. Last updated 2025-08-29.

Use cases

• Quickly deploy MCP servers from predefined templates
• Route and load balance requests across multiple MCP endpoints
• Integrate MCP services with container orchestration (Docker/K8s)

Pros

• Flexible transport support (HTTP and stdio) for different deployment scenarios
• Sensible defaults and YAML configs reduce boilerplate
• Includes CLI and client utilities for seamless integration

Cons

• Low community adoption (18 stars) may mean limited support and fewer templates
• Requires familiarity with Docker/Kubernetes and MCP concepts
• YAML configuration can become complex for advanced routing rules

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.