terminal-mcp
Give AI agents a persistent, interactive terminal with support for SSH, REPLs, database CLIs, TUI apps, and long-running processes.
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
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.