# MCP Deployment Registry

> Packaging, distributing, and connecting MCP servers to production environments.

- Skill: `jcorpac/mcp-deployment-registry` (Agent Skill)
- Install (CLI): `npx skillmds@latest add jcorpac/mcp-deployment-registry`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jcorpac/mcp-deployment-registry/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: jcorpac (https://skillmd.com/u/jcorpac)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/jcorpac/mcp-deployment-registry

---


# MCP Deployment & Registry

Making your MCP server available to users and other agents.

## Packaging
- **`uv`**: Using `uv` for ultra-fast, reproducible Python environments.
- **Docker**: Packaging the server as a container for cloud deployment (e.g., Google Cloud Run).

## Configuration
- **Claude Desktop**: Deploying via `claude_desktop_config.json`.
- **Remote Access**: Using SSE to host servers accessible over the internet with auth.

## Best Practices
- **Health Checks**: Implement a `/health` endpoint for remote servers.
- **Versioning**: Tag your Docker images to ensure stable client connections.