GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Lightweight MCP server providing terminal access (SSH & local shells) for AI assistants.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"interminal": {
"command": "uvx",
"args": [
"mcp-interminal"
]
}
}
}Run this in your terminal
claude mcp add interminal -- uvx mcp-interminalPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"interminal": {
"command": "uvx",
"args": [
"mcp-interminal"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"interminal": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-interminal"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026
The registry name was verified with the GitHub account QiuwenZheng, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.4) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
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 (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.
cd /foo does not persist. Simple tasks: chain with &&. Multi-step workflows: use a terminal multiplexer.status="partial" with a command_id; poll with read_output or send input with respondpip install "mcp-interminal[pty]" # Windows PTY support (pywinpty)
pip install "mcp-interminal[ansi]" # ANSI escape rendering (pyte) pip install "mcp-interminal[pty,ansi]" # both