io.github.ArkNill/browsegrab

MCPcommunity
v0.1.1io.github.ArkNillUnknownUpdated 3mo agoGitHub

Token-efficient browser agent for local LLMs. Playwright + accessibility tree + MarkGrab.

Token-efficient browser agent for local LLMs — Playwright + accessibility tree + MarkGrab, MCP native. browsegrab is a lightweight browser automation library designed for local LLMs (8B-35B parameters). It combines Playwright's accessibility tree with MarkGrab's HTML-to-markdown conversion to achieve 5-8x fewer tokens per step compared to alternatives like browser-use. Token-efficient: ~500-1,500…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.github.ArkNill
LicenseUnknown
Version0.1.1
Sourcemcp-registry
GitHubQuartzUnit/browsegrab
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—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.2 · 19d 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

Token-efficient browser agent for local LLMs — Playwright + accessibility tree + MarkGrab, MCP native. browsegrab is a lightweight browser automation library designed for local LLMs (8B-35B parameters). It combines Playwright's accessibility tree with MarkGrab's HTML-to-markdown conversion to achieve 5-8x fewer tokens per step compared to alternatives like browser-use. Token-efficient: ~500-1,500 tokens/step (vs 4,000-10,000 for browser-use) Local LLM first: Optimized for vLLM, Ollama, and…

Keywords
mcp