io.github.imankha/log-reducer

MCPcommunity
v0.1.1io.github.imankhaUnknownUpdated 3mo agonpmGitHub

Reduces log files for AI consumption — 50-90% token reduction via 18 deterministic transforms.

Your AI coding agent is spending thousands of tokens reading raw logs — DEBUG spam, health checks, duplicate lines, framework stack frames, UUIDs. Those tokens are gone for the rest of the session. The agent has less room to think, generates worse code, and hits its context limit faster. Log Reducer sits between the log and the AI. It reduces the file down to just the signal — errors, warnings,…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.github.imankha
LicenseUnknown
Version0.1.1
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 surface1 tool · none privileged
Security scan✓ Cleanv0.2.0 · 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

Your AI coding agent is spending thousands of tokens reading raw logs — DEBUG spam, health checks, duplicate lines, framework stack frames, UUIDs. Those tokens are gone for the rest of the session. The agent has less room to think, generates worse code, and hits its context limit faster. Log Reducer sits between the log and the AI. It reduces the file down to just the signal — errors, warnings, state changes, unique events — typically cutting 70-90% of tokens. The raw log never enters the AI's…

Keywords
mcp