Data-Everything/mcp-server-templates
by Various
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 r
MCP
Data-Everything/mcp-server-templates
Added 1 June 2026
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)
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.
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
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.