io.github.10iii/air

MCPcommunity
v0.2.8io.github.10iiiUnknownUpdated 3mo agonpmGitHub

AI-optimized tool output compression for read, grep, diff, bash, test, web, search, and more

AIR is a toolkit for optimizing tool outputs for AI consumption. The name is inspired by "accessibility retrofitting" - just as we retrofit infrastructure for accessibility, we need to retrofit developer tools for AI ergonomics. AI context windows are the scarcest resource. A 200K token window sounds large, but: A single output can consume 2000+ tokens A test report can eat 5000+ tokens 50-96% of…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.github.10iii
LicenseUnknown
Version0.2.8
Sourcemcp-registry
npm@10iii/air-mcp-server
GitHub10iii/air
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✓ 60 resolved+ · none vulnerable
Tool surface12 tools · none privileged
Security scan✓ Cleanv0.2.8 · 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

AIR is a toolkit for optimizing tool outputs for AI consumption. The name is inspired by "accessibility retrofitting" - just as we retrofit infrastructure for accessibility, we need to retrofit developer tools for AI ergonomics. AI context windows are the scarcest resource. A 200K token window sounds large, but: A single output can consume 2000+ tokens A test report can eat 5000+ tokens 50-96% of this is noise: progress bars, blank lines, redundant info The real cost isn't tokens - it's…

Keywords
mcp