Is io.github.segentic-lab/periscope-mcp safe to use?

io.github.segentic-lab/periscope-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.segentic-lab/periscope-mcp?

io.github.segentic-lab/periscope-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with io.github.segentic-lab/periscope-mcp?

io.github.segentic-lab/periscope-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

io.github.segentic-lab/periscope-mcp

Website testing for AI agents: 63 Playwright tools, auth sessions, a11y/SEO/GEO + Lighthouse audits

GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Works with most clients

Transport: stdio

0 tools

Grade F

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Browser AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-segentic-lab-periscope-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-segentic-lab-periscope-mcp)](https://mcppedia.org/s/io-github-segentic-lab-periscope-mcp)

Read me

What io.github.segentic-lab/periscope-mcp does

Website testing for AI agents: 63 Playwright tools, auth sessions, a11y/SEO/GEO + Lighthouse audits

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

14/100across 5 weighted dimensions

How we score →

0255075100

−86

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.segentic-lab/periscope-mcp safe to use?: io.github.segentic-lab/periscope-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.segentic-lab/periscope-mcp?: io.github.segentic-lab/periscope-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.segentic-lab/periscope-mcp?: io.github.segentic-lab/periscope-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

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Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Browser AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-segentic-lab-periscope-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-segentic-lab-periscope-mcp)](https://mcppedia.org/s/io-github-segentic-lab-periscope-mcp)

Read me

What io.github.segentic-lab/periscope-mcp does

Website testing for AI agents: 63 Playwright tools, auth sessions, a11y/SEO/GEO + Lighthouse audits

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

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. 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

MCP client (AI agent)  -->  MCP Server (stdio)  -->  Playwright (Headless Chrome)
                                 |                         |
                                 +-- Projects (JSON)       +-- Persistent Sessions
                                 +-- Screenshots (PNG)  

... [View full README on GitHub](https://github.com/segentic-lab/periscope-mcp#readme)

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

14/100across 5 weighted dimensions

How we score →

0255075100

−86

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.segentic-lab/periscope-mcp safe to use?: io.github.segentic-lab/periscope-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.segentic-lab/periscope-mcp?: io.github.segentic-lab/periscope-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.segentic-lab/periscope-mcp?: io.github.segentic-lab/periscope-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.