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Auto Browser

mcp-lvcidpsyche-auto-browser · by LvcidPsyche

Give your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent.

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Install

$ agentstack add mcp-lvcidpsyche-auto-browser

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-lvcidpsyche-auto-browser)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Auto Browser

[](https://github.com/LvcidPsyche/auto-browser/actions/workflows/ci.yml) [](https://pypi.org/project/auto-browser-client/) [](./LICENSE) [](./README.md) [](./README.md) [](https://glama.ai/mcp/servers/LvcidPsyche/auto-browser) [](https://codespaces.new/LvcidPsyche/auto-browser?quickstart=1)

> Give your AI agent a real browser, with a human in the loop.

Auto Browser is an MCP-native browser control plane for authorized workflows. It gives MCP clients, LLM agents, and operators a shared Playwright browser with human takeover, reusable auth profiles, approvals, audit trails, and local-first deployment.

Works with:

  • Claude Desktop
  • Cursor
  • any MCP client that can talk HTTP or stdio
  • direct REST callers when you want curl-first control

Why Auto Browser

  • MCP-native from day one. The browser surface is already packaged as an MCP server instead of bolted on after the fact.
  • Human takeover when the web gets brittle. noVNC keeps the same live session available when a person needs to step in.
  • Login once, reuse later. Save named auth profiles and reopen fresh sessions that are already signed in.
  • Local-first by default. Run the full stack on your own box with Docker Compose, or use Codespaces for a quick hosted demo.
  • Safety rails built in. Approvals, operator identity, PII scrubbing, Witness receipts, and policy presets are all part of the product surface.
  • Governed skill induction. Verified browser traces can become staged skill candidates with signed provenance, verifier adapters, and review-only graduation — agents that prove they can repeat themselves correctly, not just act once.

Release Highlights (v1.2.1)

  • On PyPI. pip install auto-browser-client for the SDK, pip install auto-browser-langchain for the LangChain/LangGraph/CrewAI adapters, and uvx auto-browser-mcp to run the MCP stdio bridge with zero setup. Releases publish via PyPI trusted publishing (OIDC) on tag push.

Since v1.2.0

  • Verifiable Witness receipts. Receipts were always hash-chained at write time; now you can check the chain on demand. GET /sessions/{id}/witness/verify and the read-only browser.verify_witness MCP tool walk the full chain and report the first divergent receipt if the log was altered, reordered, or truncated.
  • Sturdier session isolation. Per-session browser containers now get memory/PID/CPU caps, and the controller reaps containers orphaned by a crash at startup.
  • Fresh dependency floor. Playwright 1.60 (controller and browser-node aligned), uvicorn 0.49, and a unified, current user-agent pool replacing the stale Chrome 122-era defaults.
  • Quieter failure modes. Cleanup and capture paths that previously swallowed errors now log them with context.
  • Release gates in CI continue to enforce dependency audits, fixture evals, client tests, Python wheel builds, and the 80% controller coverage gate — now on Python 3.11 and 3.14.

See [CHANGELOG.md](./CHANGELOG.md) for the full release history.

Good Fits

  • internal dashboards and admin tools
  • operator-assisted QA and browser debugging
  • login-once, reuse-later account workflows
  • brittle sites where a human may need to recover the flow
  • MCP-powered agent workflows that need a real browser, not just HTML fetches

Not the Goal

  • CAPTCHA solving
  • unauthorized scraping or account automation
  • deceptive identity shaping or bypass tooling

What You Get

| Browser Control | Operator Safety | Deployment and Integration | | --- | --- | --- | | Playwright-backed sessions with screenshots, DOM summaries, OCR excerpts, tab controls, downloads, and network inspection | approval gates, operator identity headers, audit events, PII scrubbing, Witness receipts, and protection profiles | MCP over HTTP, bundled stdio bridge, REST API, Docker Compose, Codespaces, auth profiles, and optional per-session isolation |

Quickstart

git clone https://github.com/LvcidPsyche/auto-browser.git
cd auto-browser
docker compose up --build

That is enough for local development with the default settings.

Optional:

cp .env.example .env
make doctor

Run make doctor from a normal terminal with local Docker access and permission to open localhost sockets.

Open:

  • API docs: http://127.0.0.1:8000/docs
  • Operator dashboard: http://127.0.0.1:8000/dashboard
  • Visual takeover: http://127.0.0.1:6080/vnc.html?autoconnect=true&resize=scale

All published ports bind to 127.0.0.1 by default.

Try It in Codespaces

[](https://codespaces.new/LvcidPsyche/auto-browser?quickstart=1)

Codespaces provisions the stack automatically. The dashboard and noVNC tabs are usually ready in about 90 seconds.

First Useful Demo

The highest-signal flow in this repo is:

  1. create a session
  2. log in manually if the site needs a human
  3. save the session as a named auth profile
  4. open a new session from that auth profile
  5. continue work without reauthing

Start here:

  • [examples/login-and-save-profile.md](./examples/login-and-save-profile.md)
  • [examples/README.md](./examples/README.md)

Minimal session creation:

curl -s http://127.0.0.1:8000/sessions \
  -X POST \
  -H 'content-type: application/json' \
  -d '{"name":"demo","start_url":"https://example.com"}' | jq

Minimal observation:

curl -s http://127.0.0.1:8000/sessions//observe | jq

MCP Clients

Auto Browser exposes:

  • an HTTP MCP endpoint at http://127.0.0.1:8000/mcp
  • convenience endpoints at http://127.0.0.1:8000/mcp/tools and http://127.0.0.1:8000/mcp/tools/call
  • a stdio bridge: uvx auto-browser-mcp from PyPI, or [scripts/mcp_stdio_bridge.py](./scripts/mcpstdiobridge.py) in a repo checkout

The default MCP tool profile is curated, which keeps the browser surface compact for better tool selection. If you want the full internal tool surface, set:

MCP_TOOL_PROFILE=full

Raw tool-call example:

curl -s http://127.0.0.1:8000/mcp/tools/call \
  -X POST \
  -H 'content-type: application/json' \
  -d '{
    "name":"browser.create_session",
    "arguments":{
      "name":"demo",
      "start_url":"https://example.com"
    }
  }' | jq

Client setup guides:

  • [docs/mcp-clients.md](./docs/mcp-clients.md)
  • [examples/claude-desktop-setup.md](./examples/claude-desktop-setup.md)
  • [examples/cursor-mcp-setup.md](./examples/cursor-mcp-setup.md)
  • [examples/claude_desktop_config.json](./examples/claudedesktopconfig.json)

Convergence Harness

Auto Browser ships a Stage 0 convergence harness for Agent Skill Induction. It runs a structured task contract, records tamper-checked traces, verifies completion, and writes a staged skill candidate with signed provenance. Generated skills are staged only — promotion stays explicit and reviewed.

Read-only inspection tools (harness.list_runs, harness.get_status, harness.get_trace) are exposed in the default curated MCP tool profile so agents can introspect harness state without elevated access. Convergence runs, drift checks, candidate management, and graduation require MCP_TOOL_PROFILE=full, or can be invoked directly over REST.

Start with [docs/convergence-harness.md](./docs/convergence-harness.md). A deterministic local smoke is:

python -m controller.harness.run --contract evals/contracts/example_read.json --mock-final-url https://example.com --mock-final-text "Example Domain"

For MCP clients, set MCP_TOOL_PROFILE=full to expose the harness.* tools.

Security and Compliance

For a real private deployment, set at least:

APP_ENV=production
API_BEARER_TOKEN=
REQUIRE_OPERATOR_ID=true
AUTH_STATE_ENCRYPTION_KEY=
REQUIRE_AUTH_STATE_ENCRYPTION=true
REQUEST_RATE_LIMIT_ENABLED=true
METRICS_ENABLED=true
STEALTH_ENABLED=false

COMPLIANCE_TEMPLATE can apply a preconfigured posture at startup:

| Preset | Auth Encryption | Operator ID | PII Scrub | Isolation | Max Session Age | | --- | --- | --- | --- | --- | --- | | strict | required | required | all layers | docker_ephemeral | 4h | | balanced | - | required | network + text | shared | 24h |

Both presets require upload approvals and enable Witness receipts. Startup writes the applied policy to /data/compliance-manifest.json. The legacy names (HIPAA, SOC2, GDPR, PCI-DSS) still work as deprecated aliases and emit a warning at startup.

Example:

COMPLIANCE_TEMPLATE=strict docker compose up

For deployment details, hosted Witness notes, CLI auth modes, and reverse-SSH guidance, see:

  • [docs/deployment.md](./docs/deployment.md)
  • [docs/production-hardening.md](./docs/production-hardening.md)

Architecture at a Glance

flowchart LR
    User[Human operator] -->|watch / takeover| noVNC[noVNC]
    LLM[OpenAI / Claude / Gemini] -->|shared tools| Controller[Controller API]
    Controller -->|Playwright protocol| Browser[Browser node]
    noVNC --> Browser
    Browser --> Artifacts[(screenshots / traces / auth state)]
    Controller --> Artifacts
    Controller --> Policy[Allowlist + approval gates]

Core components:

  • browser-node/ runs Chromium, Xvfb, x11vnc, and noVNC
  • controller/ exposes the FastAPI controller, MCP transport, policy rails, and orchestration endpoints
  • data/ holds runtime artifacts, auth state, approvals, audit logs, and optional CLI caches
  • scripts/ contains local helpers for doctor, smoke tests, bridges, and release checks

Repo Guide

| Path | What It Contains | | --- | --- | | [controller/](./controller/) | controller API, MCP transport, tests, and packaging | | [browser-node/](./browser-node/) | browser runtime and Playwright connection layer | | [examples/](./examples/) | copy-paste flows and MCP client setup | | [integrations/langchain/](./integrations/langchain/README.md) | LangChain, LangGraph, and CrewAI adapters | | [docs/](./docs/) | architecture, deployment, hardening, and launch docs | | [scripts/](./scripts/) | doctor, smoke harnesses, stdio bridge, and auth helpers | | [ops/](./ops/) | supporting service templates and operational assets |

Common Commands

| Command | Purpose | | --- | --- | | make help | list available repo commands | | make lint | run Ruff checks on app, tests, and helper scripts | | make test | run controller tests in Docker | | make test-local | run controller tests on host Python 3.10+ | | make eval | run deterministic provider/profile eval scoring | | make doctor | run the local readiness smoke | | make release-audit | run the fuller release-validation pass | | make smoke-isolation | verify per-session Docker isolation | | make smoke-reverse-ssh | verify reverse-SSH remote access |

Documentation Map

| If You Want To... | Start Here | | --- | --- | | understand the system shape | [docs/architecture.md](./docs/architecture.md) | | connect Claude Desktop or Cursor | [docs/mcp-clients.md](./docs/mcp-clients.md) | | run the curl-first examples | [examples/README.md](./examples/README.md) | | deploy on a trusted host | [docs/deployment.md](./docs/deployment.md) | | review production constraints | [docs/production-hardening.md](./docs/production-hardening.md) | | run the convergence harness | [docs/convergence-harness.md](./docs/convergence-harness.md) | | inspect release history | [CHANGELOG.md](./CHANGELOG.md) | | see where the project is headed | [ROADMAP.md](./ROADMAP.md) |

Contributing

If you want to help, start with:

  • [CONTRIBUTING.md](./CONTRIBUTING.md)
  • [docs/good-first-issues.md](./docs/good-first-issues.md)
  • [CODE_OF_CONDUCT.md](./CODEOFCONDUCT.md)

If Auto Browser is useful, a star helps other people find it. Sponsorship and tip options live in [TIPS.md](./TIPS.md).

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.