io.github.j0hanz/superfetch

MCPcommunity
v1.0.2io.github.j0hanzUnknownUpdated 6mo agonpmGitHub

Intelligent web content fetcher MCP server that converts HTML to clean, AI-readable JSONL format

Fetch and convert public web content to clean Markdown both readable by humans and optimized for LLM context. superFetch is a Model Context Protocol (MCP) server that fetches public web pages, extracts meaningful content using Mozilla's Readability algorithm, and converts the result into clean Markdown optimized for LLM context windows. It handles noise removal, caching, SSRF protection, async…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
6mo agoLast update
Package
Authorio.github.j0hanz
LicenseUnknown
Version1.0.2
Sourcemcp-registry
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
Dependencies60 resolved+ · none vulnerable
Tool surface
Security scan✓ Cleanv2.7.1 · 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

Fetch and convert public web content to clean Markdown both readable by humans and optimized for LLM context. superFetch is a Model Context Protocol (MCP) server that fetches public web pages, extracts meaningful content using Mozilla's Readability algorithm, and converts the result into clean Markdown optimized for LLM context windows. It handles noise removal, caching, SSRF protection, async task execution, and supports both stdio and Streamable HTTP transports. HTML to Markdown using Mozilla…

Keywords
mcp