AgentToolDrop

66 of 71

GitHub Copilot

Suggests code, answers questions and works on assigned tasks across your IDE, terminal and GitHub

Install Copilot CLI with npm

npm install -g @github/copilot

Copied from the project's docs at docs.github.com/en/copilot/how-tos/copilot-cli/set-up-copilot-cli/install-copilot-cli

Why you'd want it

Copilot is built into GitHub, so an issue can be picked up by an agent, come back as a pull request, get reviewed and be merged in one place. It runs in VS Code, Visual Studio, JetBrains IDEs, Eclipse and Xcode, in a terminal CLI, in the GitHub Copilot app, on github.com and in GitHub Mobile, and it accepts custom instructions, agent skills, custom agents and MCP servers. Organization admins control access, feature policies, file exclusions and audit logs.

Best for

  • Teams whose work already lives on GitHub
  • Organizations that need admin policies and audit logs
  • Developers spread across many IDEs

Use it when

Your code, issues and pull requests are on GitHub and you want agent work and code review tied into that workflow.

Skip it if

Your code is not on GitHub; the CLI also requires an active Copilot subscription, and premium features and larger AI credit allowances need a paid plan.

Related tools

Same category or shared tags, by drop score.

  1. Rank 65

    Cursor

    Coding agent

    Gives you a code editor and CLI with a built-in agent that plans, edits and reviews changes across your repo

    • score 57
    • No public repo
    • Proprietary

    Download, no command

    Download from cursor.com/downloads
    When to use it, when to skip it

    Why you'd want it

    Cursor is a desktop editor with an agent that searches and reads your repo, makes multi-file changes and shows them as diffs to review. Plan Mode researches the codebase, asks clarifying questions and waits for your approval before building, and the same Agent, Plan and Ask modes are available in the Cursor CLI. Premium and higher plans add Cloud Agents that keep running while you are away, Automations and Bugbot code review.

    Best for

    • Developers who want the agent built into the editor
    • Moving work between editor, terminal and cloud agents
    • Teams that want Bugbot code review

    Use it when

    You want one editor with the agent built in, plus a CLI and cloud agents that share the same modes and subscription.

    Skip it if

    You want Claude, GPT or Gemini models on a low tier: third-party models need Premium or higher and are billed at API list price from prepaid credit, and the Free plan has limited usage.

    Full stat block for Cursor

  2. Rank 1

    Claude Code

    Coding agent

    Reads your codebase, edits files, runs commands and handles git work from the terminal, IDE, desktop or web

    • score 99
    • 151k stars
    • pushed
    • v2.1.300 on
    • Proprietary

    Install with the native installer (macOS, Linux, WSL)

    curl -fsSL https://claude.ai/install.sh | bash
    When to use it, when to skip it

    Why you'd want it

    Claude Code runs in the terminal, VS Code, JetBrains IDEs, a desktop app and the browser, and every surface shares the same CLAUDE.md files, settings and MCP servers. It plans multi-file changes, runs tests, stages commits and opens pull requests, and it can read an existing AGENTS.md. Subagents, skills, hooks and a non-interactive claude -p mode let you script it in CI, and the Agent SDK exposes the same tools for building your own agents.

    Best for

    • Developers who want one agent across terminal and IDE
    • Teams automating PR review and issue triage in CI
    • Builders working with Claude models

    Use it when

    You want an agent that works across a whole repo, runs your tools and handles git, and you have a Claude subscription or Anthropic Console account.

    Skip it if

    You need an open-source agent or have no Claude subscription or Anthropic Console account; Claude Code is proprietary and most surfaces require one of them.

    Full stat block for Claude Code

  3. Rank 2

    OpenAI Codex CLI

    Coding agent

    Runs OpenAI's coding agent locally to inspect your repo, edit files and run commands from the terminal

    • score 99
    • 129k stars
    • pushed
    • rust-v0.162.1 on
    • Apache-2.0

    Install with the standalone installer (macOS, Linux)

    curl -fsSL https://chatgpt.com/codex/install.sh | sh
    When to use it, when to skip it

    Why you'd want it

    Codex CLI works against your local repository with the tools already installed on your machine, and you choose the model, reasoning effort, permissions and sandbox for each run. You can use it interactively or call codex exec from scripts and CI, run a review against uncommitted changes, a commit or a base branch, add MCP servers with codex mcp, and hand work off to Codex cloud. You sign in with a ChatGPT plan or use an API key.

    Best for

    • ChatGPT Plus, Pro, Business, Edu or Enterprise users
    • Scripted runs in CI with codex exec
    • Reviewing changes before a commit

    Use it when

    You want a terminal coding agent on OpenAI models with control over sandboxing and approvals, and you have a ChatGPT plan or OpenAI API key.

    Skip it if

    You have neither a ChatGPT plan nor an OpenAI API key, or you would rather work in an editor, where OpenAI points you to its IDE extension or the Codex app.

    Full stat block for OpenAI Codex CLI

For agents

The same entry, as files an agent can read without scraping this page. 

# read one entry
curl -s https://agenttooldrop.com/tools/github-copilot.md

# list the MCP servers in the catalog
curl -s https://agenttooldrop.com/tools.json \
  | jq -r '.tools[] | select(.category=="mcp-server") | .slug'