TerminusAI

TerminusAIは、ローカルまたはリモートホストでコマンドを実行するためのAI駆動型のMCPサーバーです。SSHを介してリモートホストに接続し、環境変数を設定することができ、セッションの持続性をサポートしています。シンプルで強力なインターフェースを提供し、AIモデルや他のアプリケーションがシステムコマンドを実行できるようにします。

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README
TerminusAI – a final stop for all terminal tasks, AI-driven

Terminal MCP Server is a Model Context Protocol (MCP) server that allows executing commands on local or remote hosts. It provides a simple yet powerful interface for AI models and other applications to execute system commands, either on the local machine or on remote hosts via SSH.

Features
  • Local Command Execution: Execute commands directly on the local machine
  • Remote Command Execution: Execute commands on remote hosts via SSH
  • Session Persistence: Support for persistent sessions that reuse the same terminal environment for a specified time (default 20 minutes)
  • Environment Variables: Set custom environment variables for commands
  • Multiple Connection Methods: Connect via stdio or SSE (Server-Sent Events)
Installation
Installing via Smithery

To install TerminusAI-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Gorav22/TerminusAI --client claude
Manual Installation
# Clone the repository
git clone https://github.com/Gorav/TerminusAI.git
cd TerminusAI

# Install dependencies
npm install

# Build the project
npm run build
Usage
Starting the Server
# Start the server using stdio (default mode)
npm start

# Or run the built file directly
node build/index.js
Starting the Server in SSE Mode

The SSE (Server-Sent Events) mode allows you to connect to the server remotely via HTTP.

# Start the server in SSE mode
npm run start:sse

# Or run the built file directly with SSE flag
node build/index.js --sse

You can customize the SSE server with the following command-line options:

Option Description Default
--port or -p The port to listen on 8080
--endpoint or -e The endpoint path /sse
--host or -h The host to bind to localhost

Example with custom options:

# Start SSE server on port 3000, endpoint /mcp, and bind to all interfaces
node build/index.js --sse --port 3000 --endpoint /mcp --host 0.0.0.0

This will start the server and listen for SSE connections at http://0.0.0.0:3000/mcp.

Testing with MCP Inspector
# Start the MCP Inspector tool
npm run inspector
The execute_command Tool

The execute_command tool is the core functionality provided by Terminal MCP Server, used to execute commands on local or remote hosts.

Parameters
Parameter Type Required Description
command string Yes The command to execute
host string No The remote host to connect to. If not provided, the command will be executed locally
username string Required when host is specified The username for SSH connection
session string No Session name, defaults to "default". The same session name will reuse the same terminal environment for 20 minutes
env object No Environment variables, defaults to an empty object
Examples
Executing a Command Locally
{
  "command": "ls -la",
  "session": "my-local-session",
  "env": {
    "NODE_ENV": "development"
  }
}
Executing a Command on a Remote Host
{
  "host": "example.com",
  "username": "user",
  "command": "ls -la",
  "session": "my-remote-session",
  "env": {
    "NODE_ENV": "production"//add any other env variables if your terminal code needs that like in linux if your command wants to use root or admin piower for which its password is needed then mention that in env and also tell to llm about that or it automatic scans and come to know that. 
  }
}
Configuring with AI Assistants
For stdio mode (local connection)
{
  "mcpServers": {
    "TerminusAI": {
      "command": "node",
      "args": ["/path/to/TerminusAI-server/build/index.js"],
      "env": {}//add env variables if your terminal code needs that like in linux if your command wants to use root or admin piower for which its password is needed then mention that in env and also tell to llm about that or it automatic scans and come to know that. 
    }
  }
}
For SSE mode (remote connection)
{
  "mcpServers": {
    "TerminusAI-sse": {
      "url": "http://localhost:8080/sse",
      "headers": {}//add env variables if your terminal code needs that like in linux if your command wants to use root or admin piower for which its password is needed then mention that in env and also tell to llm about that or it automatic scans and come to know that. 
    }
  }
}

Replace localhost:8080/sse with your actual server address, port, and endpoint if you've customized them.

Configuring with Cline
  1. Open the Cline settings file: ~/.cline/config.json
  2. Add the following configuration:
For stdio mode (local connection)
{
  "mcpServers": {
    "TerminusAI": {
      "command": "node",
      "args": ["/path/to/TerminusAI-server/build/index.js"],
      "env": {}//add env variables if your terminal code needs that like in linux if your command wants to use root or admin piower for which its password is needed then mention that in env and also tell to llm about that or it automatic scans and come to know that. 
    }
  }
}
For SSE mode (remote connection)
{
  "mcpServers": {
    "TerminusAI-sse": {
      "url": "http://localhost:8080/sse",
      "headers": {}//add env variables if your terminal code needs that like in linux if your command wants to use root or admin piower for which its password is needed then mention that in env and also tell to llm about that or it automatic scans and come to know that. 
    }
  }
}
Configuring with Claude Desktop
  1. Open the Claude Desktop settings file: C:\Users\HP\AppData\Roaming\Claude\claude_desktop_config.json
  2. Add the following configuration:
For stdio mode (local connection)
{
  "mcpServers": {
    "TerminusAI": {
      "command": "node",
      "args": ["/path/to/TerminusAI-server/build/index.js"],
      "env": {} //add env variables if your terminal code needs that like in linux if your command wants to use root or admin piower for which its password is needed then mention that in env and also tell to llm about that or it automatic scans and come to know that. 
    }
  }
}
For SSE mode (remote connection)
{
  "mcpServers": {
    "TerminusAI-sse": {
      "url": "http://localhost:8080/sse",
      "headers": {}
    }
  }
}
Best Practices
Command Execution
  • Before running commands, it's best to determine the system type (Windows, Linux, etc.)
  • Use full paths to avoid path-related issues
  • For command sequences that need to maintain environment, use && to connect multiple commands
  • For long-running commands, consider using nohup or screen/tmux
SSH Connection
  • Ensure SSH key-based authentication is set up
  • If connection fails, check if the key file exists (default path: .ssh/id_rsa)
  • Make sure the SSH service is running on the remote host
Session Management
  • Use the session parameter to maintain environment between related commands
  • For operations requiring specific environments, use the same session name
  • Note that sessions will automatically close after 20 minutes of inactivity
Error Handling
  • Command execution results include both stdout and stderr
  • Check stderr to determine if the command executed successfully
  • For complex operations, add verification steps to ensure success
Important Notes
  • For remote command execution, SSH key-based authentication must be set up in advance
  • For local command execution, commands will run in the context of the user who started the server
  • Session timeout is 20 minutes, after which the connection will be automatically closed
作者情報
Gorav Jindal

GFG Contest 202 Rank 21 | Microsoft AI-ML Intern | EY GDS Next Gen Intern | YIIC Intern | Rank 1 C Hackerrank | IBM Certified SQL Pro| 5⭐ SQL | Python | Next.js

Barnala, Punjab India

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