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Lightweight MCP server providing terminal access (SSH & local shells) for AI assistants.
Lightweight MCP server providing terminal access (SSH & local shells) for AI assistants.
Valid MCP server (0 strong, 4 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-qiuwenzheng-interminal": {
"args": [
"mcp-interminal"
],
"command": "uvx"
}
}
}From the project's GitHub README.
Lightweight MCP server that gives AI assistants terminal access — SSH and local shells — with support for interactive and long-running commands.
# Run directly, no install needed (recommended)
uvx mcp-interminal
# Or install permanently
pip install mcp-interminal
Requires Python ≥ 3.11.
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"interminal": {
"command": "uvx",
"args": ["mcp-interminal"]
}
}
}
Cursor / other clients: same command + args format above.
| Tool | Description |
|---|---|
connect_ssh | Connect to an SSH server; returns session_id and welcome banner |
execute | Run a command locally (no session needed) or over SSH; returns output or status=partial + command_id |
read_output | Poll a running command for new output without sending input |
respond | Send text input to a command waiting at a prompt |
send_control | Send control keys: ctrl+c, ctrl+z, arrow keys, F-keys, etc. |
disconnect | Close an SSH session and release all resources |
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.
cd /foo does not persist. Simple tasks: chain with &&. Multi-step workflows: the AI will use a Zellij session for persistent statestatus="partial" with a command_id; poll with read_output or send input with respond&; after the server daemonizes, the partial channel can be abandonedpip 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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