Interminal

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (6)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Interminal.

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

Documentation Overview

Interminal

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

Installation

bash

# 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):

config.json

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

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

Tools

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

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

Terminal

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

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

2mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

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Frequently Asked Questions about Interminal

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "interminal": { "command": "uvx", "args": ["mcp-interminal"] } }

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Technical Specs & Signals

CategoryCommand Line

1/6 checks healthy over the last 45d

49Quality signal: Fair · 49/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity3/15

Community engagement0/10

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Scanned 1d ago via OSV.dev · mcp-interminal (PyPI)

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Documentation Overview

Interminal

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

Installation

bash

# 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):

config.json

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

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

Tools

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

Persistent State

Each execute call runs in an isolated channel — there is no persistent shell between calls. For simple tasks, chaining with && works.

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

Terminal

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