pinchtab/pinchtab

What is PinchTab?

PinchTab is a standalone HTTP server that gives AI agents direct control over Chrome.

For day-to-day local use, the server is typically installed as a user-level daemon, allowing agent tools to reuse the same browser control plane running in the background.

curl -fsSL https://pinchtab.com/install.sh | bash
# or
pinchtab daemon install

This installs the control-plane server and starts a default headless Chrome instance, ready to accept requests from agents or manual API calls.

PinchTab is designed first for local, single-user control on a machine you manage. Remote and distributed layouts are supported, but they are advanced operator-managed deployments. If you bind beyond loopback, publish ports, or attach remote bridges, you are responsible for tokens, network boundaries, TLS or reverse proxying, and which endpoint families you expose.

If you run PinchTab on a different machine, do it only when you understand the security model. Keep it on a private or otherwise closed network, avoid exposing it directly to the public internet, and keep high-risk endpoint families disabled unless you explicitly need them. If you do enable them, lock them down so only the systems that need them can reach them.

[!WARNING] The dashboard, HTTP API, MCP server, and remote CLI integrations are privileged operator control surfaces. They are not designed for untrusted users, multi-tenant exposure, or direct public-internet access. If you are unsure how to secure a non-local deployment, review docs/guides/security.md and use the private security contact path in SECURITY.md before exposing the service.

If you prefer not to run a daemon, or if you're on Windows, you can instead run:

pinchtab server — runs the control-plane server directly pinchtab bridge — runs a single browser instance as a lightweight runtime

PinchTab also provides a CLI with an interactive entry point for local setup and common tasks:

pinchtab

Security

PinchTab defaults to a local-first security posture:

• server.bind = 127.0.0.1
• sensitive endpoint families are disabled by default
• attach is disabled by default
• IDPI is enabled with a local-only website allowlist

[!CAUTION] By default, IDPI restricts browsing to locally hosted websites only. This prevents agents from navigating the public internet until you explicitly allow it. The restriction exists to make the security implications of browser automation clear before enabling wider access.

Expanding browsing to non-local or non-trusted websites is a security-reducing choice. Hostile pages can still increase browser attack surface and interact badly with enabled automation features even when PinchTab's content defenses are on.

See the full guide: docs/guides/security.md

Remote, container, and distributed setups are possible, but PinchTab is not positioned as a turnkey internet-facing browser service. Treat any non-local deployment as an advanced setup that you must secure explicitly.

What can you use it for

Headless navigation

With the daemon installed and an agent skill configured, an agent can execute tasks like:

"What are the main news about aliens on news.com?"

PinchTab exposes browser tools that allow agents to navigate pages, extract structured content, and interact with the DOM without wasting tokens on raw HTML or images.

Headed navigation

In addition to headless automation, PinchTab supports headed Chrome profiles.

You can create profiles configured with authentication, cookies, extensions, or specific environments. Each profile can have a name and description.

For example, an agent request like:

"Log into my work profile and download the weekly report"

can automatically select the appropriate profile and perform the action.

Local container isolation

If you prefer stronger isolation, PinchTab can run inside Docker.

This allows agents to control browsers in a sandboxed environment, reducing risk when running automation tasks locally.

Distributed automation

PinchTab can manage multiple Chrome instances (headless or headed) across containers or remote machines.

Typical use cases include:

• QA automation
• testing environments
• distributed browsing tasks
• development tooling

You can connect to multiple PinchTab servers, or attach to Chrome instances running in remote debug mode.

Process Model

PinchTab is server-first:

1. install the daemon or run pinchtab server for the full control plane
2. let the server manage profiles and instances
3. let each managed instance run behind a lightweight pinchtab bridge runtime

In practice:

• Server — the main product entry point and control plane
• Bridge — the runtime that manages a single browser instance
• Attach — an advanced mode for registering externally managed Chrome instances

Primary Usage

The primary user journey is:

1. install Pinchtab
2. install and start the daemon with pinchtab daemon install
3. point your agent or tool at http://localhost:9867
4. let PinchTab act as your local browser service

That is the default “replace the browser runtime” scenario. Most users should not need to think about pinchtab bridge directly, and only need pinchtab when they want the local interactive menu.

Key Features

• CLI or Curl — Control via command-line or HTTP API
• Token-efficient — 800 tokens/page with text extraction (5-13x cheaper than screenshots)
• Headless or Headed — Run without a window or with visible Chrome
• Multi-instance — Run multiple parallel Chrome processes with isolated profiles
• Self-contained — ~15MB binary, no external dependencies
• Accessibility-first — Stable element refs instead of fragile coordinates
• ARM64-optimized — First-class Raspberry Pi support with automatic Chromium detection

Quick Start

Installation

macOS / Linux:

curl -fsSL https://pinchtab.com/install.sh | bash

Homebrew (macOS / Linux):

brew install pinchtab/tap/pinchtab

npm:

npm install -g pinchtab

Platform Support

PinchTab's primary tested operator workflow is local macOS and Linux.

Windows binaries are published, but Windows support is currently limited and best-effort because the project does not have the same level of automated and manual coverage there. On Windows, prefer running pinchtab server or pinchtab bridge directly instead of relying on the daemon workflow.

Shell Completion

Generate and install shell completions after pinchtab is on your PATH:

# Generate and install zsh completions
pinchtab completion zsh > "${fpath[1]}/_pinchtab"

# Generate bash completions
pinchtab completion bash > /etc/bash_completion.d/pinchtab

# Generate fish completions
pinchtab completion fish > ~/.config/fish/completions/pinchtab.fish

Docker:

docker run -d \
  --name pinchtab \
  -p 127.0.0.1:9867:9867 \
  -v pinchtab-data:/data \
  --shm-size=2g \
  pinchtab/pinchtab

The bundled container persists its managed config at /data/.config/pinchtab/config.json. If you want to supply your own config file instead, mount it and point PINCHTAB_CONFIG at it:

docker run -d \
  --name pinchtab \
  -p 127.0.0.1:9867:9867 \
  -e PINCHTAB_CONFIG=/config/config.json \
  -v "$PWD/config.json:/config/config.json:ro" \
  -v pinchtab-data:/data \
  --shm-size=2g \
  pinchtab/pinchtab

Use It

Terminal 1 — Start the server:

pinchtab server

Recommended for daily local use — install the daemon once:

pinchtab daemon install
pinchtab daemon

That keeps PinchTab running in the background so your agent tools can reuse it without an open terminal.

Terminal 2 — Control the browser:

# Navigate
pinchtab nav https://pinchtab.com

# Get page structure
pinchtab snap -i -c

# Click an element
pinchtab click e5

# Extract text
pinchtab text

Or use the HTTP API directly:

# Create a profile first (returns profile id)
PROF=$(curl -s -X POST http://localhost:9867/profiles \
  -H "Content-Type: application/json" \
  -d '{"name":"work"}' | jq -r '.id')

# Start an instance for that profile (returns instance id)
INST=$(curl -s -X POST http://localhost:9867/instances/start \
  -H "Content-Type: application/json" \
  -d "{\"profileId\":\"$PROF\",\"mode\":\"headless\"}" | jq -r '.id')

# Open a tab in that instance
TAB=$(curl -s -X POST http://localhost:9867/instances/$INST/tabs/open \
  -H "Content-Type: application/json" \
  -d '{"url":"https://pinchtab.com"}' | jq -r '.tabId')

# Get snapshot
curl "http://localhost:9867/tabs/$TAB/snapshot?filter=interactive"

# Click element
curl -X POST "http://localhost:9867/tabs/$TAB/action" \
  -H "Content-Type: application/json" \
  -d '{"kind":"click","ref":"e5"}'

Core Concepts

Server — The main PinchTab process. It manages profiles, instances, routing, and the dashboard.

Instance — A running Chrome process. Each instance can have one profile.

Profile — Browser state (cookies, history, local storage). Log in once, stay logged in across restarts.

Tab — A single webpage. Each instance can have multiple tabs.

Bridge — The single-instance runtime behind a managed instance. Usually spawned by the server, not started manually.

Read more in the Core Concepts guide.

Why PinchTab?

Privacy

PinchTab is a fully open-source, local-first tool. No telemetry, no analytics, and no required outbound service dependency. The binary binds to 127.0.0.1 by default. Persistent profiles store browser sessions locally on your machine, similar to how a human reuses their browser. Remote and distributed deployments are available for advanced use cases, but they are explicit operator-managed setups rather than the default posture. The single Go binary (~16 MB) is fully verifiable: build from source at github.com/pinchtab/pinchtab.

Documentation

Full docs at pinchtab.com/docs

MCP (SMCP) integration

An SMCP plugin in this repo lets AI agents control PinchTab via the Model Context Protocol (SMCP). One plugin exposes 15 tools (e.g. pinchtab__navigate, pinchtab__snapshot, pinchtab__action). No extra runtime deps (stdlib only). See plugins/README.md for setup (env vars and paths).

Examples

AI Agent Automation

# Your AI agent can:
pinchtab nav https://pinchtab.com
pinchtab snap -i  # Get clickable elements
pinchtab click e5 # Click by ref
pinchtab fill e3 "user@pinchtab.com"  # Fill input
pinchtab press e7 Enter              # Submit form

Data Extraction

# Extract text (token-efficient)
pinchtab nav https://pinchtab.com/article
pinchtab text  # ~800 tokens instead of 10,000

Multi-Instance Workflows

# Run multiple instances in parallel
curl -s -X POST http://localhost:9867/instances/start \
  -H "Content-Type: application/json" \
  -d '{"profileId":"alice","mode":"headless"}'

curl -s -X POST http://localhost:9867/instances/start \
  -H "Content-Type: application/json" \
  -d '{"profileId":"bob","mode":"headless"}'

# Each instance is isolated
curl http://localhost:9867/instances

See chrome-files.md for technical details on how PinchTab manages Chrome user data directories and ensures isolation between parallel instances.

Development

Want to contribute? Start with CONTRIBUTING.md. The full setup and workflow guide lives at docs/guides/contributing.md.

Quick start:

git clone https://github.com/pinchtab/pinchtab.git
cd pinchtab
./dev doctor                # Verifies environment, offers hooks/deps setup
./dev --help                # Shows the developer toolkit commands
go build ./cmd/pinchtab     # Build pinchtab binary

License

MIT — Free and open source.

Get started: pinchtab.com/docs