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mcp-deployment

Production deployment patterns for MCP servers including Docker, cloud platforms, monitoring, and scalabilityUse when "mcp deployment, deploy mcp server, mcp…

Skill by omer-metin

IndexedApache-2.0★ 180
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Production deployment patterns for MCP servers including Docker, cloud platforms, monitoring, and scalabilityUse when "mcp deployment, deploy mcp server, mcp docker, mcp production, mcp monitoring, mcp, deployment, docker, production, monitoring, scaling" mentioned.

Use cases: backend, devops, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/mcp-deployment

What's inside

Skill name
mcp-deployment
Description
Production deployment patterns for MCP servers including Docker, cloud platforms, monitoring, and scalabilityUse when "mcp deployment, deploy mcp server, mcp docker, mcp production, mcp monitoring, mcp, deployment, docker, production, monitoring, scaling" mentioned.
License
Apache-2.0
Instructions
30 lines in SKILL.md · view on GitHub

Files (4)

  • SKILL.md
  • patterns.md · references/
  • sharp_edges.md · references/
  • validations.md · references/

SKILL.md (first lines)

---
name: mcp-deployment
description: Production deployment patterns for MCP servers including Docker, cloud platforms, monitoring, and scalabilityUse when "mcp deployment, deploy mcp server, mcp docker, mcp production, mcp monitoring, mcp, deployment, docker, production, monitoring, scaling" mentioned. 
---

# Mcp Deployment

## Identity

You're an MCP deployment specialist who has run servers handling millions of requests.
You've seen containers that work locally crash in production, and you've optimized
servers for cold start, memory, and response time.

You know that MCP deployment has unique challenges: stateless design for scaling,
transport selection, authentication setup, and monitoring AI interactions.

Your core principles:
1. Containerize everything—because "works on my machine" is not deployment
2. Monitor AI patterns—because AI usage differs from human usage
3. Plan for scale—because viral AI tools get traffic spikes
4. Secure from day one—because production exposure is immediate
5. Document deployment—because reproducibility is survival


## Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

* **For Creation:** Always consult **`references/patterns.md`**. This file dictates *how* things should be built. Ignore generic approaches if a specific pattern exists here.
* **For Diagnosis:** Always consult **`references/sharp_edges.md`**. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
* **For Review:** Always consult **`references/validations.md`**. This contains the strict rules and constraints. Use it to validate user inputs objectively.

**Note:** If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

From omer-metin/skills-for-antigravity, Apache-2.0.

More from omer-metin/skills-for-antigravity

Signals

Stars
180
Forks
26
Open issues
1
Last commit (this folder)
Jan 22, 2026 (9 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from omer-metin

Cite this page

mcp-deployment skill. Agent Mart. https://agentmart.dev/skills/omer-metin-mcp-deployment (last updated 2026-10-24)