Insights, tutorials, and best practices for working with the Model Context Protocol
The definitive awesome MCP servers list with 50+ curated servers. Discover the best Model Context Protocol servers for Claude, Cursor, and AI development including Supabase, GitHub, Stripe, Notion, Figma, and more.
Learn how to use AWS MCP servers to connect Claude and Cursor to Amazon Web Services. Setup guides for S3, Lambda, EC2, DynamoDB, and more AWS services.
Learn about remote MCP servers and how to test them online without local installation. Discover public MCP servers you can connect to instantly from your browser.
Step-by-step guide to building an automated AI code reviewer that analyzes GitHub pull requests, suggests improvements, and posts comments. Uses GitHub MCP + Claude.
Learn to build an AI assistant that converts natural language questions into SQL queries. Query databases using plain English with Supabase MCP and Claude. No SQL knowledge required.
Stop manually creating Jira tickets after meetings. Learn to automatically extract action items from Notion meeting notes and create Jira tasks using AI. Save hours every week.
Step-by-step guide to configure MCP servers in Claude Desktop. Learn the exact config file location, JSON format, and how to connect popular servers like Supabase, GitHub, and Playwright.
Complete guide to setting up MCP servers in Cursor. Learn how to connect Claude to external tools, databases, and APIs directly from your IDE.
Curated list of the most useful MCP servers for developers. Includes GitHub, Supabase, Playwright, Notion, Slack, and more with setup instructions.
Learn how MCP discovery works and why it matters. This guide explains how clients discover tools, what happens during initialization, and common mistakes to avoid when building MCP servers.
Learn how to wrap existing REST APIs as MCP tools so AI clients can safely and reliably call them. This guide shows you how to create a thin, safe layer between AI and your APIs using Node.js + MCP.
Learn how to build a basic MCP server using Node.js, step by step. This guide shows you how to create a clean, typed API for AI with validated inputs and predictable JSON output.
Learn how to publish your MCP server to the official MCP Registry so others can discover and use it. Includes testing tips and best practices for a smooth submission process.
Once you give an LLM access to tools, files, or APIs through MCP, things get real very quickly. Here are practical approaches we learned by trial, error, and occasionally mild panic.
A simple guide for ensuring security, reliability, and correct behavior. Learn how QA teams can effectively test MCP servers before they ship to production.
MCP servers give AI agents access to your file system, databases, and APIs. Learn the real security risks and how to protect your systems with practical examples.
Most LLM apps hit the same wall quickly: they need fresh context and the ability to call real systems, without piles of custom glue code. That is exactly what the Model Context Protocol gives you.