C

Reference and read resources exposed by MCP servers.

Execute MCP prompts as commands via the slash menu.

Receive push messages from MCP servers via channels.

Admin-controlled allow and deny lists for MCP servers.

Coordinate multiple Claude Code instances with a shared task list.

Coordinator agent that assigns tasks and synthesizes findings.

Teammates claim and complete work independently from one list.

Teammates communicate directly without routing through the lead.

Run each teammate in its own tmux or iTerm2 pane.

Require lead approval before teammates execute their tasks.

Pending tasks depend on others and unblock automatically.

Reuse custom subagent types as Agent Teams members.

Run a prompt repeatedly on a fixed interval or self-paced.

GUI-based scheduling on your local machine for recurring work.

Managed scheduling on Anthropic infrastructure with API and GitHub triggers.

Set up Codex Chronicle on macOS, manage permissions, and understand privacy, security, and troubleshooting.

Install Ollama and LM Studio, pull your first model, and run AI locally for coding, chat, and automation - with zero cloud dependency.

Step-by-step guide to building an MCP server in TypeScript - from project setup to tool definitions, resource handling, testing, and deployment.

Deep comparison of the top AI agent frameworks - architecture, code examples, strengths, weaknesses, and when to use each one.

Install Claude Code, configure your first project, and start shipping code with AI in under 5 minutes.