# iTerm Terminal

> Use this tool when you need to interact with terminal output and execute commands programmatically, solving problems such as troubleshooting, task delegation, and interactive terminal sessions. It provides an interface for reading terminal output, writing commands, and sending control characters, with minimal dependencies and seamless integration with MCP clients. Ideal for workflows where users want to share their terminal with AI assistants for efficient interaction and automation.

Canonical page: https://skillsregistry.net/skills/lite-iterm  
JSON: https://api.skillsregistry.net/v1/skills/lite-iterm

## Description

iTerm-MCP provides AI models with direct access to the active iTerm terminal session, enabling efficient interaction with terminal output and command execution. Built by Ferris Lucas, it features tools for reading terminal output, writing commands, and sending control characters, allowing models to inspect only relevant output and interact with REPLs. The implementation requires minimal dependencies, runs via npx, and integrates seamlessly with Claude Desktop and other MCP clients, making it ideal for workflows where users want to share their terminal with AI assistants for troubleshooting, task delegation, or interactive terminal sessions.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lite-iterm)
- **Repository:** <https://github.com/lite/iterm-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lite-iterm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lite-iterm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lite-iterm/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt