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Interminal

I
by io.github.QiuwenZheng

Lightweight MCP server providing terminal access (SSH & local shells) for AI assistants.

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Local command
uvx mcp-interminal==1.0.4
Provider
Claude Code
claude mcp add io.github.qiuwenzheng-interminal -- uvx mcp-interminal==1.0.4

Run in a terminal.

Claude Desktop
{
  "mcpServers": {
    "io.github.qiuwenzheng-interminal": {
      "command": "uvx",
      "args": [
        "mcp-interminal==1.0.4"
      ]
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

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Lightweight MCP server providing terminal access (SSH & local shells) for AI assistants.

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

Persistent State

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 (like Zellij) provides persistent state that survives across calls. The AI agent can create a persistent session where cd, environment variables, virtual environments, and long-running processes carry over naturally.

Key Behaviors

  • Stateless execute — each call is an isolated channel; cd /foo does not persist. Simple tasks: chain with &&. Multi-step workflows: use a terminal multiplexer.
  • Long-running commands return status="partial" with a command_id; poll with read_output or send input with respond
  • 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
How do I install Interminal?
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Interminal need an API key?
No required environment variable is listed on this record.
What transport does Interminal use?
Interminal runs locally over stdio.
When was Interminal last checked?
Last checked 2026-10-16. Lightweight MCP server providing terminal access (SSH & local shells) for AI assistants.

No tool list yet. Remote servers get one after the first health check.

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