Learn · Coding agents
MCP (Model Context Protocol) is an open standard for connecting AI agents to external tools and data sources, like your database, a design tool, a ticketing system, or a file store. Instead of custom code for every integration, a tool exposes an MCP server and any MCP-aware agent can use it. It became a common standard across AI tools through 2025 and 2026.
The point is reach. An agent is only as useful as what it can see and do. MCP lets one agent pull a ticket, read the relevant code, check the database schema, and update the design file, all through a shared protocol rather than one-off plumbing.
For a business, MCP means the AI tools you adopt can plug into your existing systems more easily, and you're less locked into a single vendor's ecosystem.
Updated July 2026
Related
A coding agent wraps an AI model in a loop with access to tools: reading and writing files, running terminal commands, and running tests. It reads your request, inspects the relevant code, makes an edit, runs the code to see what happens, reads the result, and repeats until the task passes or it gets stuck.
Yes. Modern coding agents are built to work in existing projects, not just fresh ones. They read your files to learn your patterns, follow your conventions, and make changes that fit what's already there. Large context windows let them take in a lot of a codebase before touching anything.
A coding agent is an AI tool that can write, edit, run, and debug code across a whole project, not just suggest the next line. You give it a task in plain language, and it reads the relevant files, makes changes across several of them, runs tests, and fixes what breaks, working in a loop until the job is done.
A code assistant suggests completions and answers questions while you drive: it finishes lines, explains errors, and drafts snippets on request. A coding agent takes a goal and executes the multi-file, multi-step work itself, running commands and tests. The assistant helps you type. The agent does the task.
As of July 2026, the three lead the market with different shapes. Claude Code is a terminal-native agent built for deep, multi-file work. Cursor is a full AI-first code editor (a fork of VS Code) that blends editing and agent modes. GitHub Copilot is an extension that adds AI to editors you already use, with the broadest reach.
As of July 2026, entry pricing clusters around $10 to $20 a month. GitHub Copilot starts free for light use, with a Pro plan near $10 a month. Cursor and Claude Code both have plans starting around $20 a month, with heavier tiers running up to about $200 a month for high-volume professional use.