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Dev ToolsIntermediateProject

Build and deploy MCP servers

Create Model Context Protocol servers that give AI models access to your tools, data, and services.

90 min
MCP SDKTypeScriptPythonClaude
10xCareer Team

Choose your training style

Pick the format that matches the level of support you want.

Self-pacedAvailable

Self-paced

Start immediately and work through the training on your own schedule.

Free
Human trainerComing soon

Human trainer

Join a guided cohort or workshop format when live delivery is available.

$99

Guided by an instructor

AI trainerComing soon

AI trainer

Practice with an AI-guided trainer experience tailored to the course topic.

$9

Personalized guidance

What you'll learn
  • Understand the MCP specification and architecture
  • Build custom MCP servers with the official SDKs
  • Connect AI models to your existing tools and data
  • Deploy and secure MCP servers for production use

Overview

MCP (Model Context Protocol) has become the standard for connecting AI models to external tools and data (323K+ stars). This course teaches you to build MCP servers that expose your own APIs, databases, and services to AI.

What you'll build

  • An MCP server exposing a REST API to Claude and other AI models
  • A database connector MCP for querying your data via natural language
  • A file system MCP for document management

What you'll learn

  1. The MCP specification: resources, tools, prompts, and sampling
  2. Building servers with the official TypeScript and Python SDKs
  3. Authentication and security best practices
  4. Testing and debugging MCP integrations
  5. Deploying MCP servers for team and production use

Why this matters

MCP is the USB-C of AI integrations. Building MCP servers is one of the highest-leverage skills in the AI tools ecosystem.

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