io.github.dinesh-nalla-se/playwright-mcp

MCPcommunity
v1.0.0io.github.dinesh-nalla-seUnknownUpdated 7mo agonpmGitHub

Playwright Tools for MCP

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models. Fast and lightweight. Uses Playwright's accessibility tree, not pixel-based input. LLM-friendly. No vision models needed, operates purely on…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
7mo agoLast update
Package
Authorio.github.dinesh-nalla-se
LicenseUnknown
Version1.0.0
Sourcemcp-registry
npm@dinesh-nalla-se/playwright-mcp
GitHubdinesh-nalla-se/playwright-mcp
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
Dependencies✓ 2 resolved · none vulnerable
Tool surface—
Security scan✓ Cleanv0.0.47 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models. Fast and lightweight. Uses Playwright's accessibility tree, not pixel-based input. LLM-friendly. No vision models needed, operates purely on structured data. Deterministic tool application. Avoids ambiguity common with screenshot-based…

Keywords
mcp