What Is an MCP Client? How Hosts, Clients and Servers Fit
What is an MCP client? It is the part inside apps like Claude, Cursor and VS Code that opens one connection to one MCP server to fetch tools and data.
6 min read
A curated list of five agentic AI coding tools — Claude Code, Cursor, OpenAI Codex CLI, Aider, and OpenCode — and how to choose one for your workflow.
Agentic AI coding tools are assistants that do more than autocomplete a line — they plan a task, edit multiple files, run commands, and report back with a working change. That shifts the buying question: instead of asking which tool suggests the best single line, you're asking which one you can hand a real task to and trust with the result. This list covers five agentic AI coding tools available today — what each one does, how it runs, and who it fits — so you can match one to your workflow instead of guessing.
The five agentic AI coding tools below span the main shapes this category takes: agents built into a chat product and IDE (Claude Code, Cursor), a standalone CLI agent from a model provider (OpenAI Codex CLI), and two open source, model-agnostic agents built to run from a terminal (Aider, OpenCode). Each link below goes to the tool's own site or repository.
Claude Code is Anthropic's coding agent. It works directly in a codebase from the terminal, an IDE (VS Code, JetBrains), Slack, the web, GitHub, or a mobile app, and it can read a repository, edit files across it, and run commands to get a task done.
Recent features listed on Anthropic's site include:
Claude Code installs with curl -fsSL https://claude.ai/install.sh | bash and is available for macOS, Linux, and Windows. It's included in Anthropic's Pro plan ($17/month with an annual subscription, $20 billed monthly), which the site describes as suited to short coding sprints in small codebases. The Max 5x plan ($100/month) targets everyday use in larger codebases, and Max 20x ($200/month) is for power users who want the most access to Claude's models.
Claude Code fits developers who want one agent that follows them from terminal to IDE to Slack, and teams that want scheduled or event-triggered runs (Routines) or large parallel task execution (Dynamic workflows) rather than a single interactive session.
Cursor describes itself as "your coding agent for building ambitious software." It ships as a full code editor (Cursor Desktop) and a terminal agent (Cursor CLI), and its agents are built to take on a task end to end while the developer reviews and decides rather than writing every line.
Cursor's agents work in more than one place at once:
Install the CLI with curl https://cursor.com/install -fsS | bash. Cursor's site quotes Y Combinator general partner Diana Hu on adoption spreading quickly among teams once people started using it, and NVIDIA president and CEO Jensen Huang on productivity gains across NVIDIA's engineering staff.
Cursor is a fit for developers who want their editor and their agent to be the same product, and for teams that want always-on automation and cloud agents working in parallel with whoever is coding locally.
OpenAI Codex CLI is, in the project's own words, "a coding agent from OpenAI that runs locally on your computer." It's installed with a shell script (curl -fsSL https://chatgpt.com/codex/install.sh | sh on macOS/Linux, a PowerShell equivalent on Windows), or through npm install -g @openai/codex or brew install --cask codex.
Codex CLI isn't limited to the terminal. It can be installed directly inside an IDE such as VS Code, Cursor, or Windsurf, and there's a separate desktop app experience reachable by running codex app. OpenAI also runs a cloud-based version, Codex Web, as a distinct product from the local CLI.
To use it, you sign in with ChatGPT to use Codex as part of a Plus, Pro, Business, Edu, or Enterprise plan, or connect it to an API key instead. The project is open source under the Apache-2.0 license.
Codex CLI suits developers already inside the ChatGPT/OpenAI ecosystem who want a local-first agent they can also drop into an existing IDE, without switching to a new editor.
Aider bills itself as "AI pair programming in your terminal," and it's one of the older, more established tools in this space — its own site reports 44K GitHub stars, 6.8M installs, and 15B tokens processed per week.
Aider is model-agnostic. It works best with Claude 3.7 Sonnet, DeepSeek R1 and Chat V3, and OpenAI's o1, o3-mini, and GPT-4o, but it can connect to almost any LLM, including models running locally. Other features called out on its site:
Install with python -m pip install aider-install, then run aider-install, then start it with a model flag, for example aider --model sonnet --api-key anthropic=<key>.
Aider is a fit for developers who want a lightweight, terminal-only agent that doesn't lock them into one model vendor, and who like git as the audit trail for every change an agent makes.
OpenCode calls itself "the open source AI coding agent." It installs through a shell script, npm i -g opencode-ai@latest, or a long list of package managers (Homebrew, Scoop, Chocolatey, pacman, paru, mise, Nix), and it's also available as a beta desktop app for macOS, Windows, and Linux.
What sets OpenCode apart is its built-in split between two agent modes, switchable with the Tab key:
OpenCode also includes a general subagent for complex searches and multistep tasks, which you can call directly with @general in a message.
OpenCode fits developers who want an open source agent with an explicit safety switch — a mode that can only look and plan, separate from the mode that's allowed to edit — especially useful the first time an agent touches a codebase it hasn't seen before.
These five agentic AI coding tools solve the same underlying problem in different shapes, so the right pick comes down to a few practical questions:
None of these agentic AI coding tools are mutually exclusive — many developers run a terminal agent like Aider or OpenCode for day-to-day changes and reach for a cloud agent like Cursor's or Claude Code's Dynamic workflows when a task is large enough to parallelize.
Browse more agents built for developer workflows: https://aiagentslisting.com/agents
One email a week. New agents, MCP servers and skills, and what is actually getting traction.
What is an MCP client? It is the part inside apps like Claude, Cursor and VS Code that opens one connection to one MCP server to fetch tools and data.
6 min read
Human in the loop AI agents pause before a risky action so a person can approve, reject or edit it. How the pattern works, real frameworks, and when to skip it.
5 min read
MCP server security covers confused deputy attacks, token passthrough, tool poisoning and supply chain risk, and how to harden a Model Context Protocol server in 2026.
5 min read