Data-Everything/mcp-server-templates

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.

38
/ 100
Emerging

This tool helps AI developers, data scientists, and DevOps teams quickly set up and run Model Context Protocol (MCP) servers. It takes your desired server configuration (like for file operations or API integrations) and instantly deploys a ready-to-use server as a Docker container. You get a fully functional MCP server running locally or deployed, ready to integrate into your AI applications without complex setup.

No commits in the last 6 months.

Use this if you need to rapidly deploy and manage MCP servers for AI integration, without dealing with Docker or complex infrastructure configurations.

Not ideal if you are looking for the latest features and ongoing support, as this version is in maintenance mode and encourages migration to 'MCP Platform'.

AI-integration server-deployment model-serving developer-productivity container-management
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 15 / 25

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Stars

15

Forks

4

Language

Python

License

Last pushed

Aug 29, 2025

Commits (30d)

0

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