terminal-mcp

terminal-mcp

Give AI agents a persistent, interactive terminal with support for SSH, REPLs, database CLIs, TUI apps, and long-running processes.

Category
Visit Server

README

<!-- mcp-name: io.github.mkpvishnu/terminal-mcp -->

<p align="center"> <img src="assets/banner.svg" width="800" alt="terminal-mcp banner"/> </p>

<h3 align="center">Give your AI a real terminal. Persistent sessions. Interactive programs. Zero limitations.</h3>

<p align="center"> <a href="https://pypi.org/project/terminal-mcp/"><img src="https://img.shields.io/pypi/v/terminal-mcp.svg" alt="PyPI"/></a> <a href="https://www.python.org/downloads/"><img src="https://img.shields.io/badge/python-3.10%2B-blue.svg" alt="Python 3.10+"/></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-green.svg" alt="License: MIT"/></a> <a href="https://github.com/mkpvishnu/terminal-mcp/actions/workflows/ci.yml"><img src="https://github.com/mkpvishnu/terminal-mcp/actions/workflows/ci.yml/badge.svg" alt="CI"/></a> <a href="https://github.com/mkpvishnu/terminal-mcp/actions/workflows/codeql.yml"><img src="https://github.com/mkpvishnu/terminal-mcp/actions/workflows/codeql.yml/badge.svg" alt="CodeQL"/></a> </p>

<p align="center"> <a href="https://insiders.vscode.dev/redirect/mcp/install?name=terminal-mcp&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22terminal-mcp%22%5D%7D"><img src="https://img.shields.io/badge/VS_Code-Install-007ACC?logo=visual-studio-code&logoColor=white" alt="Install in VS Code"/></a> <a href="https://insiders.vscode.dev/redirect/mcp/install?name=terminal-mcp&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22terminal-mcp%22%5D%7D"><img src="https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?logo=visual-studio-code&logoColor=white" alt="Install in VS Code Insiders"/></a> <a href="cursor://anysphere.cursor-mcp/install?name=terminal-mcp&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJ0ZXJtaW5hbC1tY3AiXX0="><img src="https://img.shields.io/badge/Cursor-Install-F37626?logo=cursor&logoColor=white" alt="Install in Cursor"/></a> <a href="#install-in-claude-desktop"><img src="https://img.shields.io/badge/Claude_Desktop-Install-cc785c?logo=claude&logoColor=white" alt="Install in Claude Desktop"/></a> </p>

<p align="center"> <img src="assets/demo.gif" alt="terminal-mcp demo" width="700"/> </p>


The Problem

Every AI coding tool hits the same wall: no real terminal access.

Claude Code's Bash tool, GitHub Copilot, and Codex all run commands in isolated subprocesses. Each command starts fresh. No state carries over. That means:

  • No SSH sessions - Can't connect to a remote server and run multiple commands
  • No REPLs - Can't use Python, Node, or Ruby interpreters interactively
  • No database CLIs - Can't maintain a psql, mysql, or redis-cli connection
  • No TUI apps - Can't navigate htop, vim, or fzf with arrow keys
  • No long-running processes - Can't monitor builds, watch logs, or run dev servers

The Solution

terminal-mcp gives AI agents a real terminal. Persistent PTY sessions that survive across tool calls. Send commands, read output, press keys, navigate TUIs - exactly like a human at a terminal.

uvx terminal-mcp

One command. Works with Claude Code, Claude Desktop, VS Code, Cursor, and Windsurf.


Quick Start

1. Install (30 seconds)

# No install needed - run directly
uvx terminal-mcp

# Or install globally
pip install terminal-mcp

2. Connect to Your AI Client

<details open> <summary><strong>Claude Code</strong></summary>

Add to ~/.claude.json or project .mcp.json:

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

</details>

<details> <summary><strong>Claude Desktop</strong></summary>

Add to claude_desktop_config.json:

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

</details>

<details> <summary><strong>VS Code / Cursor</strong></summary>

Click the one-click install badge above, or add to .vscode/mcp.json:

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

</details>

<details> <summary><strong>Windsurf</strong></summary>

Add to ~/.codeium/windsurf/mcp_config.json:

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

</details>

3. Verify

session_exec  exec="echo hello from terminal-mcp"

What Can You Do With It?

SSH Into Remote Servers

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"

Run Interactive REPLs

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"

Query Databases

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"

Navigate TUI Apps

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"

Monitor Long-Running Builds

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

Run One-Off Commands

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

Features at a Glance

Feature What It Does
Persistent Sessions Real PTY sessions that survive across tool calls
Send + Read in One Call session_interact halves LLM round trips
Pattern-Based Reads wait_for blocks until regex matches - no guessing timeouts
Auto TUI Detection Detects htop, vim, etc. and auto-switches to screen snapshot mode
Output Diff Mode Returns only changed screen lines - minimizes tokens
Special Keys Arrow keys, Tab, F1-F12, Home/End, Page Up/Down
Control Characters Ctrl-C, Ctrl-D, Ctrl-Z, Ctrl-L, telnet escape
Dangerous Command Gate Blocks rm -rf, DROP TABLE, curl|sh - requires confirmation
OSC 133 Shell Integration Auto-detects command boundaries and exit codes
Smart Truncation Four strategies to prevent context overflow
Secret Input Send passwords without logging
Dynamic Resize Resize terminal on the fly with SIGWINCH
Idle Cleanup Auto-closes idle sessions
Cross-Platform Linux, macOS, and Windows support

Tools Reference

terminal-mcp exposes 9 MCP tools. Full details in docs/tools.md.

Tool Purpose
session_create Spawn a persistent terminal session
session_send Send text, keys, or control characters
session_read Read output (stream, snapshot, auto, diff modes)
session_interact Send + read in one call
session_wait_for Wait for regex pattern in output
session_exec One-shot command execution
session_close Close a session gracefully
session_resize Resize terminal dimensions
session_list List active sessions

Architecture

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

Each session is backed by a real PTY via pexpect.spawn (or PopenSpawn on Windows). For full architecture details, see docs/architecture.md.


Configuration

All settings configurable via TERMINAL_MCP_* environment variables. Full reference in docs/configuration.md.

Setting Env Var Default
Max sessions TERMINAL_MCP_MAX_SESSIONS 10
Idle timeout TERMINAL_MCP_IDLE_TIMEOUT 1800 (30 min)
Safety gate TERMINAL_MCP_SAFETY_GATE on
Buffer cap TERMINAL_MCP_MAX_BUFFER_BYTES 1000000 (1MB)
Truncation TERMINAL_MCP_TRUNCATION_MODE tail

Example with custom settings:

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

Documentation

Document Description
Tools Reference Complete API for all 9 MCP tools
Architecture How terminal-mcp works under the hood
Configuration All settings and environment variables
Safety & Security Dangerous command detection and safety gate
Use Cases & Examples Real-world recipes and patterns
Changelog Version history and release notes
Contributing How to contribute

Supported Clients

Client Status Install
Claude Code (CLI) Supported ~/.claude.json or .mcp.json
Claude Desktop Supported One-click install
VS Code (Copilot Chat) Supported One-click install or .vscode/mcp.json
Cursor Supported One-click install or Settings
Windsurf Supported ~/.codeium/windsurf/mcp_config.json

Running Tests

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

Contributing

Contributions welcome! See docs/contributing.md for guidelines.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured