terminal-mcp

uvx terminal-mcp

# No install needed - run directly
uvx terminal-mcp

# Or install globally
pip install terminal-mcp

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

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

{
  "servers": {
    "terminal-mcp": {
      "command": "uvx",
      "args": ["terminal-mcp"]
    }
  }
}

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

session_exec  exec="echo hello from terminal-mcp"

session_create   command="ssh user@prod-server.com"   label="prod"
session_interact session_id="a1b2c3d4"  input="df -h"  wait_for="\$"
session_interact session_id="a1b2c3d4"  input="docker ps"  wait_for="\$"
session_close    session_id="a1b2c3d4"

session_create   command="python3"  label="python"
session_interact session_id="e5f6g7h8"  input="import pandas as pd"  wait_for=">>>"
session_interact session_id="e5f6g7h8"  input="df = pd.read_csv('data.csv')"  wait_for=">>>"
session_interact session_id="e5f6g7h8"  input="df.describe()"  wait_for=">>>"
session_close    session_id="e5f6g7h8"

session_create   command="psql -U admin mydb"  label="db"
session_interact session_id="x1y2z3w4"  input="SELECT count(*) FROM users;"  wait_for="row"
session_interact session_id="x1y2z3w4"  input="\dt"  wait_for="#"
session_close    session_id="x1y2z3w4"

session_create   command="htop"  label="monitor"
session_read     session_id="a1b2c3d4"
# Auto-detects TUI, returns screen snapshot

session_send     session_id="a1b2c3d4"  key="F6"
session_read     session_id="a1b2c3d4"  mode="diff"
# Returns only changed lines - saves tokens

session_send     session_id="a1b2c3d4"  key="F10"
session_close    session_id="a1b2c3d4"

session_create   command="bash"  label="build"
session_send     session_id="a1b2c3d4"  input="npm run build"
session_wait_for session_id="a1b2c3d4"  pattern="Build complete|ERROR"  timeout=120

session_exec  exec="git log --oneline -10"
session_exec  exec="docker compose ps"  timeout=10

flowchart LR
    Client[AI Client] -->|MCP JSON-RPC| Server[terminal-mcp]
    Server --> SM[Session Manager]
    SM --> S1[PTY 1: bash]
    SM --> S2[PTY 2: python3]
    SM --> S3[PTY 3: ssh user@host]
    S1 & S2 & S3 -.->|PTY output| Reader[Reader Thread]
    Reader -.->|buffer| Server

{
  "mcpServers": {
    "terminal": {
      "command": "uvx",
      "args": ["terminal-mcp"],
      "env": {
        "TERMINAL_MCP_MAX_SESSIONS": "20",
        "TERMINAL_MCP_IDLE_TIMEOUT": "3600",
        "TERMINAL_MCP_TRUNCATION_MODE": "head_tail"
      }
    }
  }
}

pip install -e ".[dev]"
pytest tests/ -v