---
type: source
title: "Build and Ship Any MCP Server in MINUTES (Full Guide)"
description: "Building production-ready remote MCP servers is now surprisingly straightforward using a TypeScript template that layers GitHub OAuth, security best practices, Sentry monitoring, and Cloudflare deployment onto the core tool-registration pattern."
youtube_id: Zw3sfAIpeH8
url: https://www.youtube.com/watch?v=Zw3sfAIpeH8
slug: build-and-ship-any-mcp-server-in-minutes-full-guide
published: 2025-07-09
duration: "0:31:01"
recency_rank: 81
raw: "../raw/build-and-ship-any-mcp-server-in-minutes-full-guide.md"
tags: [mcp, agent-security, deployment, context-engineering]
created: 2026-07-21
updated: 2026-07-21
---

# Build and Ship Any MCP Server in MINUTES (Full Guide)

Cole argues that while everyone uses MCP servers, almost no one knows how to build and ship production-ready ones. MCP was essentially a toy at launch (security holes, no auth, poor docs, no remote hosting), but Anthropic has since built out the production infrastructure: streamable HTTP as a scalable transport, OAuth for real authentication, security best-practice documentation, and enterprise-grade remote deployment via platforms like Cloudflare. The insight he keeps returning to is that an MCP server is just an API endpoint repackaged in a standard for AI agents, so all the existing best practices around security and backend infrastructure apply directly.

The bulk of the video walks through a comprehensive TypeScript template that builds a "chat with your Postgres database" MCP server with three tools (list tables, execute read-only queries, execute write queries). He starts from a bare-bones simplemath.ts example to teach the fundamentals of registering tools (name, arguments, description, function), then layers in production concerns: database lifespan management to close connections gracefully, modular single-purpose tools with clear descriptions (which become part of the LLM's prompt), role-based access via GitHub OAuth to protect the sensitive write tool, SQL validation and sanitization against dangerous patterns, graceful error handling, and Sentry for production monitoring. Cloudflare's OAuth provider handles the server-side authentication, and a KV store tracks authenticated users.

He then deploys the server to Cloudflare Workers with a single wrangler deploy command, sets production secrets via wrangler secret put, and demonstrates the live GitHub OAuth authorization flow against a remote MCP. He closes by showing the template's real payoff: hand the whole repo plus the linked MCP security checklist to an AI coding assistant as context (context engineering) so it can build any MCP server you want, swapping GitHub OAuth for Google or X as needed.

## Concepts covered

- [Model Context Protocol (MCP)](../concepts/mcp.md)
- [Build Your Own MCP Server](../concepts/build-your-own-mcp-server.md)
- [The Problems With MCP Servers](../concepts/mcp-problems.md)
- [Agent Security](../concepts/agent-security.md)
- [Context Engineering](../concepts/context-engineering.md)
- [Tool Design](../concepts/tool-design.md)
- [Agent Deployment](../concepts/agent-deployment.md)
- [Guardrails](../concepts/guardrails.md)
- [Docs and Templates as Coding-Assistant Context](../concepts/docs-as-agent-context.md)

## Entities

- [MCP (Model Context Protocol)](../entities/tools/mcp.md)
- [Anthropic](../entities/organizations/anthropic.md)
- [GitHub](../entities/tools/github.md)
- [Sentry](../entities/tools/sentry.md)
- [Postgres](../entities/tools/postgres-pgvector.md)
- [Supabase](../entities/tools/supabase.md)
- [Claude Desktop](../entities/tools/claude-desktop.md)
- [Claude Code](../entities/tools/claude-code.md)
- [Langfuse](../entities/tools/langfuse.md)
- [Cole Medin](../entities/people/cole-medin.md)

## Key moments

- **[0:00:16]** History of MCP: impressive at launch but a toy (no auth, security holes, no remote hosting)
- **[0:01:08]** Anthropic's production MCP infrastructure: streamable HTTP, OAuth, security docs, remote deploys
- **[0:02:32]** What's being built: TypeScript MCP server with GitHub OAuth, Sentry, deployed to Cloudflare
- **[0:03:37]** Three Postgres tools: list tables, read-only query, write query (OAuth-protected)
- **[0:05:11]** MCP fundamentals from the TypeScript SDK: server instance + register tools + transport
- **[0:06:13]** Key mental model: an MCP server is just an API endpoint, but for AI agents
- **[0:14:56]** The MCP security checklist paste-into-your-prompt pro tip
- **[0:15:47]** Best-practices walkthrough: lifespan, single-purpose tools, RBAC, SQL validation, monitoring
- **[0:16:28]** Database lifespan management: get instance on startup, close gracefully on exit
- **[0:17:08]** Tool descriptions ARE part of the LLM prompt; context is key
- **[0:18:34]** GitHub authorization via this.props.login to gate the write tool
- **[0:20:44]** Sentry monitoring integration for MCP in production
- **[0:23:46]** Deploying to Cloudflare: KV namespace, wrangler deploy, production secrets
- **[0:27:08]** Live remote MCP test with GitHub OAuth authorization flow
- **[0:29:34]** Payoff: feed the repo + security checklist to an AI coding assistant as context

## Transcript

[Raw transcript](../raw/build-and-ship-any-mcp-server-in-minutes-full-guide.md)
