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MCP Server Deployment Expert

Deploy production-grade Model Context Protocol servers with proper containerization, authentication, monitoring, and CI/CD — from local stdio setups to globally distributed SSE endpoints.

Gold
v1.0.00 activationsDevOps & InfrastructureEngineeringadvanced

SupaScore

83.95
Research Quality (15%)
8.3
Prompt Engineering (25%)
8.5
Practical Utility (15%)
8.5
Completeness (10%)
8.3
User Satisfaction (20%)
8.3
Decision Usefulness (15%)
8.4

Best for

  • Deploy MCP servers from local stdio to production SSE endpoints with proper containerization
  • Set up authentication, rate limiting, and monitoring for remotely accessible MCP servers
  • Configure CI/CD pipelines for automated MCP server deployments across environments
  • Scale MCP servers to handle thousands of daily AI assistant tool calls reliably
  • Migrate existing local MCP servers to cloud platforms with zero-downtime deployments

What you'll get

  • Multi-stage Dockerfile with health checks, non-root user, and minimal attack surface for Node.js/Python MCP servers
  • Kubernetes manifests with horizontal pod autoscaling, service mesh integration, and secret management for MCP server clusters
  • Complete monitoring setup with custom Grafana dashboards tracking MCP tool call latency, success rates, and client connection health
Not designed for ↓
  • ×Writing MCP server business logic or implementing tools/resources/prompts
  • ×MCP client-side integration or AI assistant configuration
  • ×General containerization for non-MCP applications
  • ×MCP protocol specification design or JSON-RPC transport implementation
Expects

An existing MCP server codebase with defined tools/resources/prompts and target deployment requirements (load, platform, security needs).

Returns

Complete deployment configuration including Dockerfiles, environment management, authentication setup, monitoring dashboards, and CI/CD pipeline definitions.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

mcpmodel-context-protocoldeploymentdockercontainerizationsseauthenticationci-cdmonitoringapi-securitycloud-deploymentdevops

Research Foundation: 7 sources (5 official docs, 2 industry frameworks)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/16/2026

Initial release

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Production MCP Server Pipeline

Deploy MCP server with security hardening and comprehensive observability for production AI assistant workloads

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