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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Interminal

qiuwenzheng/interminal
2STDIOregistry active
Summary

Gives Claude direct terminal access through seven tools: connect_ssh for remote shells, create_local for host execution, execute for running commands, and helpers for polling output, sending input, or killing processes. Long running commands return a command_id you can poll without blocking. The interesting bit is the Zellij integration. Without a multiplexer, each execute call is isolated and stateless. Install Zellij on the target machine and the AI automatically gets persistent sessions where cd, environment variables, and background processes stick around between calls. You can even attach to watch Claude work in real time. Ships as a uvx one liner, supports interactive prompts and control sequences.

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Interminal

Lightweight MCP server that gives AI assistants terminal access — SSH and local shells — with support for interactive and long-running commands.

Installation

# Run directly, no install needed (recommended)
uvx mcp-interminal

# Or install permanently
pip install mcp-interminal

Requires Python ≥ 3.11.

MCP Client Configuration

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "interminal": {
      "command": "uvx",
      "args": ["mcp-interminal"]
    }
  }
}

Cursor / other clients: same command + args format above.

Tools

ToolDescription
connect_sshConnect to an SSH server; returns session_id and welcome banner
executeRun a command locally (no session needed) or over SSH; returns output or status=partial + command_id
read_outputPoll a running command for new output without sending input
respondSend text input to a command waiting at a prompt
send_controlSend control keys: ctrl+c, ctrl+z, arrow keys, F-keys, etc.
disconnectClose an SSH session and release all resources

Recommended: Install Zellij

Each execute call runs in an isolated channel — there is no persistent shell between calls. For simple tasks, chaining with && works. For multi-step workflows (project development, debugging, deployment), a terminal multiplexer provides persistent state that survives across calls.

Zellij is strongly recommended on the host machine (local or remote):

# Linux / macOS / WSL
cargo install zellij    # or: brew install zellij

# Check if installed
zellij --version

With Zellij installed, the AI agent will automatically create a persistent session where cd, environment variables, virtual environments, and long-running processes carry over naturally. As a bonus, you can run zellij attach <session-name> to watch the AI's terminal work in real-time.

Key Behaviors

  • Stateless execute — each call is an isolated channel; cd /foo does not persist. Simple tasks: chain with &&. Multi-step workflows: the AI will use a Zellij session for persistent state
  • Long-running commands return status="partial" with a command_id; poll with read_output or send input with respond
  • TUI apps (zellij, vim, htop) must be started in the foreground — never background with &; after the server daemonizes, the partial channel can be abandoned
  • SSH PTY is 500×200 xterm-256color so multiplexer sessions render at your actual terminal size

Optional Dependencies

pip install "mcp-interminal[pty]"       # Windows PTY support (pywinpty)
pip install "mcp-interminal[ansi]"      # ANSI escape rendering (pyte)
pip install "mcp-interminal[pty,ansi]"  # both
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Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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Categories
Developer Tools
Registryactive
Packagemcp-interminal
TransportSTDIO
UpdatedMay 28, 2026
View on GitHub

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