peek

peek

Records masked browser sessions (rrweb DOM + console + network) to a local SQLite store and exposes them to AI coding agents via stdio MCP. Fully local, no SaaS, no telemetry.

Category
访问服务器

README

<img src="https://raw.githubusercontent.com/Cubenest/rrweb-stack/main/assets/brand/sub-tracelane.svg" height="40" alt="tracelane">  <img src="https://raw.githubusercontent.com/Cubenest/rrweb-stack/main/assets/brand/sub-peek.svg" height="40" alt="peek">

rrweb-stack

Two OSS products on one rrweb-based substrate. Both ship as npm packages today.

Product One line Install
tracelane The reporter for your WebdriverIO tests — Playwright and Cypress on the roadmap. Self-contained HTML for every run — replay failures, audit successes, attach to any bug tracker. No SaaS, no dashboard, no signup. npx @tracelane/cli init
peek Your real browser, exposed to your AI coding agent over MCP — capture once, query forever, never leaves your machine. npm install -g @peekdev/cli && npx peek init

tracelane install — one command

Above: npx @tracelane/cli init in a real WebdriverIO project — detect runner, install, edit wdio.conf.ts, ignore reports dir.

peek query — sessions are structured data

Above: peek sessions list then peek sessions show ... --format markdown — a recorded browser session as queryable structured output, AI-ready.

CI OpenSSF Scorecard License

What's where

tracelane

Package Status What it does
@tracelane/wdio alpha WebdriverIO Service — capture + write HTML report
@tracelane/playwright planned (Q3 2026) Playwright Reporter implementing onTestEnd + onAttachment
@tracelane/cypress planned (Q4 2026) JSON-output adapter (no Test Replay overlap)
@tracelane/core alpha Framework-agnostic capture engine — depended on by the adapters
@tracelane/report alpha Self-contained HTML report builder

Docs: tracelane.cubenest.in (source under apps/tracelane-docs/). The tracelane-wdio README is the right starting point.

peek

Package Status What it does
@peekdev/cli alpha peek init installer + peek sessions query / export
@peekdev/mcp alpha stdio MCP server — exposes captured sessions to Claude Code, Cursor, Cline, Windsurf
peek-extension alpha (CWS submission pending) Chrome MV3 extension — the real browser, recorded

Docs: peek.cubenest.in (source under apps/peek-docs/).

peek requires Node.js ≥ 22. Its native better-sqlite3 dependency only ships prebuilt binaries for Node 22+; on older Node (notably Windows, which has no C/C++ toolchain by default) the install falls back to compiling from source and fails.

Shared substrate

@cubenest/rrweb-core — vendored PostHog rrweb fork, PII masking primitives, large-DOM throttling, screenshot fallback, network/console capture abstractions, compression helpers. Used by both products. The fork is pinned by SHA + the substrate's NOTICE attributes both PostHog's plugin lineage and the upstream rrweb roots.

Why two products, one repo

Same recording engine, same trust model, two different consumer surfaces:

  • tracelane ships test-time captures into a self-contained HTML artifact your team and AI agents can read offline.
  • peek ships live-browser captures into an MCP server your AI coding agent can query.

Shared upstream means one fork to track, one masking surface to harden, one license + DCO + security policy.

Pre-launch state

Pre-1.0. Alpha packages live on npm. Branch protection is on main (PR + CI + DCO + linear history). All workflows use Trusted Publishing OIDC + SLSA provenance. Renovate runs with a 7-day cooldown (21 days for the @posthog/rrweb lineage) and config:best-practices. Public launch motion is in progress.

Contributing

Apache 2.0. DCO sign-off required on all contributions. See CONTRIBUTING.md, CODE_OF_CONDUCT.md, SECURITY.md.

Sponsor / support

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选