mcp-environtment-browser
MCP server acting as a credential vault and browser execution broker, letting AI agents perform browser tasks (login, scraping, etc.) without exposing raw credentials, with per-tab billing and a monitoring UI.
README
mcp-environtment-browser
MCP server untuk credential vault + browser execution broker, dengan subscription per-tab.
Status: Phase 1 COMPLETE (2026-08-16)
Repo ini sudah menyelesaikan Phase 1 (Strategi A: Local-First + License
Server Only) — 9 phase implementation closed, 21 logical commits, 176 unit
tests PASS, 87.24% coverage, hermes verify --json → ok: true.
| Metric | Value |
|---|---|
| Phase completed | 9/9 (Phase 1-9 + bootstrap) |
| Quality gates | 10/10 passed |
| Unit tests | 176 passed, 1 skipped |
| Coverage | 87.24% (gate ≥80%) |
| MCP tools | 13 (per spec §6.4) |
| MCP prompts | 3 (per spec §6.4.1) |
| License server endpoints | 4 (per spec §6.5) |
| Build | wheel 43KB generated |
| Manual validation | 5 items pending owner (init/serve/DB counter/license gate/pause-resume) |
Lihat docs/spec/01_phase1_local_first_license_only/state.json
untuk SSOT fase + quality gates. Lihat docs/spec/01_phase1_local_first_license_only/spec.md
untuk latar belakang, scope, dan strategi implementasi fase 1.
Apa Ini (Goal)
Sebuah MCP server yang memungkinkan agent (Hermes, OpenAI, Claude Code, dll) menjalankan tugas di browser — seperti login ke TikTok, scrape data Google, akses GCP, atau ambil data dari Coretax DJP — tanpa agent harus pegang credential mentah.
Prinsip utama:
- Credential vault — username/password/SSH/OAuth token/env var, disimpan terenkripsi di local user
- Browser execution broker — agent minta "scrape akun TikTok X", MCP yang handle login + ambil data + return JSON
- Per-tab billing — setiap
browser.new_page()dihitung 1 tab, hit server license DB; user tidak terdaftar = tidak bisa pakai - Multi-agent — agent apapun yang bisa connect MCP (stdio transport) bisa pakai, tanpa modifikasi
- 13 MCP Tools + 3 MCP Prompts — Tools untuk runtime action (credential + browser + DevTools + pause/resume + list sessions + web monitoring), Prompts untuk pattern guidance (OAuth confirmation + browser debug + human intervention)
- Web monitoring companion — real-time screenshot tiap tab di
http://localhost:9876, click-to-act untuk user intervene - Cross-platform — dirancang jalan di Linux/Windows/macOS
Stack & Lisensi
| Item | Pilihan |
|---|---|
| Bahasa | Python 3.10+ |
| Server | FastAPI (license DB + per-tab counter) |
| Client | Click/Typer CLI + MCP stdio |
| Browser | Playwright (Python) |
| Credential storage | libsecret/Secret Service API (Linux), extensible ke Windows/macOS |
| Lisensi | MIT |
| Branch default | master |
🚨 Sebelum Kontribusi — WAJIB BACA
AGENTS.md— strict guidelines, anti-over-engineering, owner workflow styleQUICKREF.md— TL;DR orientasi 2 menitdocs/spec/01_phase1_local_first_license_only/spec.md— latar belakang, K1-K7, scope, strategi A
Struktur Docs
.
├── AGENTS.md # ← BACA PERTAMA
├── QUICKREF.md # ← BACA KEDUA (orientasi 2 menit)
├── README.md # file ini
├── LICENSE # MIT
└── docs/spec/01_phase1_local_first_license_only/
├── spec.md # Latar belakang, K1-K7, scope, strategi A
├── state.json # SSOT fase + quality gates
├── knowledge.md # Reuse catatan (cua-driver, libsecret, Playwright)
├── roadmap_migration.md # Strategi A → D → fase 3 (untuk agent masa depan)
└── refactor/
├── 00_overview.md # Quick split matrix + scope contract
├── 10_mcp_server.md # Detail MCP tool spec
├── 20_license_server.md # Detail server endpoint spec
├── 30_client_arch.md # Local-first client structure
├── 40_distribution.md # PyInstaller binary + install script
├── 90_decisions_log.md # CAPTURE K1-K7 — JANGAN DIHAPUS
└── 95_anti_overengineering_guard.md # ← BACA KETIGA (anti-over-engineer)
Status Implementasi
| Phase | Strategi | Status |
|---|---|---|
| Phase 1 | A. Local-first + license-server-only | ✅ COMPLETE (2026-08-16) |
| Phase 2 | D. Hybrid credential-from-server + local browser | 📋 ROADMAP |
| Phase 3 | Multi-tenant + per-target rate limit | 📋 ROADMAP |
Lihat roadmap_migration.md
untuk transisi detail.
Quick Start (setelah install.sh)
# 1. Install (idempotent)
bash install.sh && bash install.sh
# 2. Start license server (di background)
mcp-env-browser-license-server serve --port 8765 &
# 3. Register admin + get API key (sekali)
curl -X POST http://localhost:8765/license/register \
-H "Content-Type: application/json" \
-d '{"email":"owner@mcp-env-browser.local","plan":"dev"}'
# 4. Init client config
mcp-env-browser init --server-url http://localhost:8765 --api-key <key>
# 5. Start MCP stdio + monitoring UI
mcp-env-browser serve
# → MCP stdio untuk agent
# → http://localhost:9876 untuk monitoring UI
Kontribusi
Sampai spec disetujui owner (yadenmustopa), JANGAN tulis kode implementasi.
Tambah/update docs saja.
Setelah spec di-approve, kontribusi mengikuti workflow di
docs/spec/01_phase1_local_first_license_only/refactor/00_overview.md.
Lisensi
MIT — lihat LICENSE.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。