Which cloud providers are supported for MCP deployment?

This skill currently provides specialized configurations and scripts for Google Cloud Run, Render, and Fly.io.

Can it help me choose the right platform?

Yes, it includes a Phase 1 workflow that asks about your traffic, budget, and latency needs to recommend the most suitable provider.

Does it support auto-scaling?

The generated configurations for Cloud Run and Fly.io include settings for min/max instances and concurrency to handle scaling automatically.

How does it ensure my deployment is secure?

It includes a production-readiness phase that verifies environment variables are externalized, secrets are not hardcoded, and health check endpoints are active.

Does this skill help with Docker configuration?

Yes, it generates optimized Dockerfiles specifically for Python-based FastMCP servers, including port configuration and dependency management.

MCP Server Deployment Builder

Name: MCP Server Deployment Builder
Author: hollaugo

byhollaugo

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배포 및 DevOps

Generates production-ready deployment configurations and scripts for Model Context Protocol (MCP) servers across multiple cloud platforms.

The mcp-builder:deploy skill streamlines the process of moving MCP servers from local development to production environments. It provides an interactive workflow to help developers choose between Google Cloud Run, Render, and Fly.io based on their specific budget, traffic, and latency requirements. The skill automates the creation of essential assets including Dockerfiles, platform-specific YAML configurations (like render.yaml and fly.toml), and deployment scripts, while ensuring servers meet production standards through rigorous readiness checklists for environment variables and health monitoring.

주요 기능

01Interactive platform selection guide based on cost and complexity

021 GitHub stars

03Production-readiness verification for secrets and health checks

04Multi-platform support for Google Cloud Run, Render, and Fly.io

05Automated Dockerfile and requirements.txt generation for FastMCP

06Post-deployment state management and verification checklists

사용 사례

01Setting up automated CI/CD pipelines for MCP servers via Render

02Deploying custom MCP tools to the edge for low-latency AI interactions

03Scaling enterprise-grade MCP servers using Google Cloud Run's auto-scaling

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hollaugo/prompt-circle-marketplace deploy

For use in Claude.ai and ChatGPT

Download Skill