AI drives one persistent tmux-backed terminal over MCP; ssh, containers & agent TUIs nest in it.
AI drives one persistent tmux-backed terminal over MCP; ssh, containers & agent TUIs nest in it.
This image represents different intelligences sharing one persistent workspace and advancing the same work from their own perspectives.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| cron | a scheduled run can launch an agent and collect its output. |
| claude_agent | Claude Code CLI (Anthropic) |
| codex_agent | Codex CLI (OpenAI; terminal config/CLI default unless overridden) |
| grok_agent | Grok Build, model grok-4.5 by default (model? overrides) (xAI) |
| composer_agent | Grok Build, model grok-composer-2.5-fast by default (model? overrides) (xAI) |
{
"mcpServers": {
"aiterm": {
"command": "npx",
"args": ["-y", "aiterm-mcp"],
"env": {
"GROK_AUTH_PATH": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| GROK_AUTH_PATH | Filesystem location the server is allowed to use. | Optional |
The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
User research workspace to transcribe interviews and turn conversations into insights.
Experimental Ruby implementation of Model Context Protocol (MCP) - A starter server framework for trying out LLM integrations
Give your AI agents the ability to listen. Microphone capture and speech-to-text.
An MCP (Model Context Protocol) server that integrates with the ArgoCD API, enabling AI assistants and large language models to manage ArgoCD