MCP Servers Tutorials
Model Context Protocol (MCP) server tutorials — build, configure, and deploy MCP servers that connect AI assistants to your tools, databases, and workflows.
What Is an MCP Server?
Complete guide to the Model Context Protocol — what it is, how it works, and why it matters for AI integration.
Build an MCP Server in Python
Step-by-step tutorial for building MCP servers using FastMCP with tools, resources, testing, and deployment.
Slack MCP Server
Connect Claude to your Slack workspace — search messages, read channels, and summarize conversations.
Postgres MCP Server
Query PostgreSQL databases with AI — schema exploration, data analysis, and reporting through natural language.
How to Get Your Anthropic API Key
Step-by-step guide to getting a Claude API key — account setup, key generation, billing, and security best practices.
Claude API Pricing 2026
Complete cost breakdown for Claude Opus 4, Sonnet 4, and Haiku — per-token rates, batch pricing, and optimization tips.
Playwright MCP Server
Browser automation for AI — navigate pages, fill forms, take screenshots, and extract data through the Model Context Protocol.
Claude Code MCP
Add MCP tools to your terminal AI — install servers, manage scopes, and extend Claude Code with custom capabilities.
Figma MCP Server
Connect AI to your Figma designs — extract tokens, inspect components, and generate production-ready code.
Notion MCP Server
Give AI access to your Notion workspace — search pages, query databases, and create content automatically.
Supabase MCP Server
AI-powered database management — query tables, manage auth, handle storage, and deploy edge functions.
Zapier MCP Server
Connect AI to 7,000+ apps — trigger automations, send emails, update spreadsheets, and manage CRM records.
About These MCP Server Tutorials
The Model Context Protocol is the emerging standard for connecting AI assistants to external tools and data sources. Developed by Anthropic and released as an open specification, MCP defines a universal interface that lets any compatible AI client (Claude Desktop, Claude Code, Cursor, Zed) communicate with any MCP server. These tutorials cover both the conceptual foundations and practical implementation of MCP servers across different use cases.
Each tutorial is designed to be self-contained while building on common patterns. The introductory guide explains the protocol architecture and ecosystem. The Python build tutorial gives you a complete development workflow from first tool to production deployment. The Slack and Postgres server guides cover the two most popular integration categories — team communication and database access. Newer tutorials cover design tools (Figma), project management (Notion), database platforms (Supabase), browser automation (Playwright), terminal AI workflows (Claude Code), and cross-app automation (Zapier) — all with real configuration examples, security best practices, and advanced customization patterns.
MCP adoption is accelerating across the AI industry. Major development tools, enterprise platforms, and SaaS products are adding MCP support. Understanding how to build and configure MCP servers is becoming a core skill for developers working with AI, similar to how REST API knowledge became essential when web services took over software architecture. Whether you are integrating AI into existing workflows or building new AI-powered products, these tutorials give you the practical knowledge to work with MCP confidently.