pty-mcp
Provides a pseudo-terminal (PTY) interface that allows AI agents to interact with command-line tools requiring interactive prompts. It enables agents to autonomously spawn processes, read output, and send inputs for workflows like database migrations and project scaffolding.
README
pty-mcp
MCP server that gives AI coding agents a real pseudo-terminal (PTY) for handling interactive CLI prompts. Spawn processes, read their output, and send intelligent responses — no human in the loop.
Why I Built This
I was using Claude Code with Drizzle ORM and hit a wall: drizzle-kit generate asks interactive questions like "Is this table created or renamed?" that Claude Code couldn't answer. It just hung. I wanted something minimal and self-contained, so I built one.
It works for way more than just Drizzle though — any CLI tool with interactive prompts becomes fully autonomous:
- Database migrations — Drizzle Kit, Prisma, TypeORM, Knex
- Project scaffolding —
npm init,create-next-app,create-vite,npx degit - Package managers —
npm installpeer dep prompts,yarnresolutions - Git operations — interactive rebase, merge conflict resolution,
git add -p - Cloud CLIs —
aws configure,gcloud init,firebase init,vercel - Docker —
docker buildprompts,docker composeconfirmations - System tools —
ssh-keygen,gpg --gen-key,certbot - Linters/formatters — ESLint
--init, Prettier setup,stylelintconfig
The Problem
AI coding agents like Claude Code can run shell commands, but they can't handle interactive prompts. When a CLI tool asks "Is this table created or renamed?" or "Pick a preset:", the agent gets stuck — it can't read the prompt or type an answer. This blocks any CLI workflow that requires human input — database migrations, project scaffolding, package configuration, and more.
The Solution
pty-mcp gives the agent a real pseudo-terminal via the Model Context Protocol. The agent can:
- Spawn a command in a PTY
- Read the interactive prompt output
- Write an intelligent response
- Repeat until the process exits
Setup
Add to your Claude Code MCP settings (~/.claude/settings.json):
{
"mcpServers": {
"pty-mcp": {
"command": "npx",
"args": ["-y", "pty-mcp"]
}
}
}
Requirements
- Node.js 20+
- Build tools for native addon compilation (Python 3, make, g++)
- macOS:
xcode-select --install - Ubuntu/Debian:
sudo apt install build-essential python3 - Windows: Pre-built binaries included, no extra tools needed
- macOS:
Tools
pty_spawn
Spawn a command in a pseudo-terminal.
| Parameter | Type | Default | Description |
|---|---|---|---|
command |
string | (required) | Command to run |
args |
string[] | [] |
Command arguments |
cwd |
string | server CWD | Working directory |
env_vars |
object | {} |
Extra environment variables (merged with system env) |
idle_timeout_ms |
number | 3000 |
Wait for output to settle before returning |
Returns: { session_id, output, is_running, exit_code }
pty_write
Send input to a running PTY session.
| Parameter | Type | Default | Description |
|---|---|---|---|
session_id |
string | (required) | Session ID from pty_spawn |
input |
string | (required) | Text to send |
press_enter |
boolean | true |
Append Enter after input |
idle_timeout_ms |
number | 2000 |
Wait for output to settle before returning |
Returns: { output, is_running, exit_code }
pty_kill
Kill a running session.
| Parameter | Type | Default | Description |
|---|---|---|---|
session_id |
string | (required) | Session ID to kill |
Returns: { success: true }
Example: Handling Interactive Prompts
Agent calls pty_spawn({ command: "npx", args: ["drizzle-kit", "generate"] })
→ Returns output: "Is 'users' table created or renamed from another table? ❯ create / rename"
Agent reads the prompt, understands context, decides "create"
→ Calls pty_write({ session_id: "abc-123", input: "" })
Process continues, agent answers more prompts as needed...
Process exits → agent gets final output with results
How It Works
- Uses node-pty (Microsoft, powers VS Code's terminal) for real PTY allocation
- ANSI escape codes are stripped automatically for clean output
- Sessions auto-expire after 5 minutes of inactivity
- All sessions are cleaned up on server shutdown
- No shell wrapping — commands are spawned directly (no injection risk)
Security
- Local only — stdio transport, no network exposure, no ports opened
- No shell injection — uses
pty.spawn(command, args)directly, notbash -c - No secrets stored — environment variables are passed through, not logged
- Session isolation — each spawn gets its own PTY with a unique session ID
- Session limits — max 20 concurrent sessions, 30s max idle timeout per request
- Auto-cleanup — idle sessions killed after 5 minutes, graceful shutdown on crash
Trust model: This server grants command execution to the connected MCP client. Only connect it to clients you trust (e.g., Claude Code on your local machine). The server inherits your shell environment — spawned processes have access to the same env vars as your terminal.
License
MIT
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.