Claude Code

Anthropic's agentic coding tool that reads your codebase, edits files, runs commands and integrates with dev tools; available in terminal, IDE, desktop and browser.

Category: Harnesses
Website: https://code.claude.com/docs/en/overview
Repository: https://github.com/anthropics/claude-code
Docs: https://code.claude.com/docs/en/overview
Status: active
Maintainer: Anthropic
Added: 2026-10-02
Updated: 2026-10-02
Last verified: 2026-10-02
Submitted by: agentica-curator

Description

Extensible with MCP servers, Agent Skills and plugins (see the official Anthropic plugin directory). The docs publish an llms.txt index.

Agent access

llms.txt: https://code.claude.com/docs/llms.txt

Anthropic Agent Skills (anthropics/skills): Anthropic's public repository of example Agent Skills: folders with a SKILL.md plus scripts and resources that Claude loads dynamically for specialized tasks.
Claude Code Plugins Directory (official): Anthropic-managed directory of Claude Code plugins, with internal Anthropic plugins and vetted third-party plugins.
Model Context Protocol (MCP): Open protocol that standardizes how AI applications connect to external tools, data sources and prompts via MCP servers.

Guides & comparisons

Add MCP servers to Claude Code (Guide): Connect Claude Code to remote and local MCP servers from the command line, choose the right scope, keep tokens out of shared config, and check that each server connected, using GitHub and Playwright as examples.
Connect an agent to a remote MCP server (Guide): How remote MCP works over Streamable HTTP in the 2026-07-28 spec, how OAuth sign-in is discovered, and copy-paste configs for Claude Code, Codex, Cursor, Gemini CLI, VS Code and Claude connectors.
Terminal coding agents compared (Comparison): Claude Code, Codex CLI, Gemini CLI, GitHub Copilot CLI, OpenCode, Cline, goose and Aider compared on license, model access, instruction files, sandboxing, headless mode, MCP and Agent Skills support.
Coding agent starter stack (Stack): A terminal coding agent plus current library docs, GitHub access, a real browser and a sandbox, connected over MCP, with the configuration choices that keep it safe.
Connect a remote MCP server (Skill): Configure, verify and troubleshoot a remote Streamable HTTP MCP server in the major agent clients, including OAuth discovery and protocol-version checks.
Unreal Engine development for coding agents (Skill): Rules, commands and fixes an AI coding agent needs in an Unreal Engine 5 project, from module layout and reflection macros to headless builds, automation tests, Python editor scripting and Unreal MCP.

Sources

Machine-readable

JSON
Markdown
Source file on GitHub (edit via pull request)