技能潮 SkillTide 提交收录
官方说明7 个来源MCP 服务8 天前
segentic-lab/periscope-mcp

segentic-lab/periscope-mcp

periscope-mcp An MCP server that gives AI agents **74 Playwright tools to QA, test, and analyze web apps** — static sites, SPAs, and apps behind a login — returning hard verdicts, not screenshots to squint at.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add periscope-mcp -- npx -y periscope-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
10 ★ · segentic-lab/periscope-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 10 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 segentic-lab/periscope-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

periscope-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

An MCP server that gives AI agents **74 Playwright tools to QA, test, and
analyze web apps** — static sites, SPAs, and apps behind a login — returning
hard verdicts, not screenshots to squint at. Not a thin wrapper around browser
APIs; the tools are shaped around how agents actually work:
- **Hard results, not screenshot-squinting** — assert_condition returns
passed: true/false with the actual value; checks return structured issues.
- **One call instead of ten** — auto_fill_form detects, infers, and fills a
whole form; interact_and_test batches 25 action types with checks;
test_project crawls and audits an entire site.
- **Real web-app testing** — persistent authenticated sessions (form/basic/
cookie auth, plus a **visible interactive login** for 2FA/SSO/CAPTCHA that
then runs headless), multi-step flows, network mocking, state snapshots, and
**real INP** measured from the interactions it drives.
- **Honest responses** — failures say what happened *and* what to do next
(expired session vs. browser crash vs. eviction); silent no-ops like ignored
drags come back flagged, not as fake success.
- **Debugging built in** — captured API response bodies, console/network logs,
network mocking, and state snapshots/diffs, no setup calls needed.
- **Audits agents can't get from a browser binding** — accessibility, SEO, and
GEO/agentic-search readiness (robots.txt AI-crawler access, llms.txt, WebMCP),
plus real Lighthouse.
Playwright + headless Chrome underneath; site crawling, responsive testing, and
screenshot diffing on top. Works with **any MCP client** — Claude Code, Codex,
Cursor, Windsurf, Gemini CLI, custom agents, or anything else that speaks MCP
over stdio.
Why not just playwright-mcp?
playwright-mcp is excellent at
what it is: general browser control over MCP, with tools that mirror
Playwright's own API. If the job is "browse this site, click around, extract
something," use it.
Periscope exists for a different job: **testing and auditing a site or web app,
then reporting findings** — and its tools encode the testing knowledge an agent
would otherwise have to reinvent every session:
| | Raw browser control | Periscope |
|---|---|---|
| Verifying an outcome | Read a screenshot or DOM dump and judge | assert_condition → hard passed: true/false + actual value |
| Filling a form | One call per field, agent invents test data | auto_fill_form — detects fields, infers realistic data, reports per-field failures |
| Auth | Re-login by scripting clicks each session | Projects persist form/basic/cookie auth; sessions share the logged-in context |
| Site-wide audit | Loop pages manually | test_project — crawl + accessibility/SEO/GEO/visual/functionality checks + saved report |
| Diagnosing a broken page | Ask for logs, replay requests | Response bodies, console, and network are captured automatically; mock APIs with intercept_network |
| Silent failures | Drag "succeeds," nothing moved | Flagged in the result, with the recovery path spelled out |
| AI-readiness audits | — | robots.txt AI-crawler access, llms.txt, WebMCP annotations, JSON-LD, plus real Lighthouse scores |
The two aren't rivals — an agent can happily use playwright-mcp for browsing
tasks and Periscope when it's wearing the QA hat. Periscope's design bets are
simply about that hat: fewer, higher-level calls; structured verdicts instead
of raw page state; and errors written to tell the agent what to do next.
Architecture
**How it works:** your MCP client connects to this server over stdio. The server exposes 74 tools the agent can call to create projects, configure authentication, crawl websites, run static checks, and interactively test web applications using persistent browser sessions. Results (JSON + screenshots + videos) are returned to the agent for analysis.
Project Structure
Prerequisites
- Python 3.11+
- Playwright + Chromium browser
Installation (Local)
Quick install (Debian/Ubuntu)
One command — clone and install:
Fully unattended (no confirmation prompts):
Already cloned? Just run ./install.sh from the repo directory.
The script installs apt prerequisites, creates the venv, installs Python
dependencies and Playwright's Chromium, runs a headless self-test, and
generates mcp-config.json with the correct absolute paths for this install
(copy or merge it into your project's .mcp.json). Useful flags:
- ./install.sh --system-chromium — use an existing Chromium/Chrome (sets CHROMIUM_PATH) instead of downloading Playwright's build
- ./install.sh --skip-deps — never touch apt / use sudo
来源
awesome · https://github.com/segentic-lab/periscope-mcp
按领域浏览
MCP 服务
Traction
10 ★
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引