io.github.kira-autonoma/context-proxy

MCPcommunity
v0.2.0io.github.kira-autonomaUnknownUpdated 3mo agonpmGitHub

MCP proxy that lazy-loads tool schemas to cut context token overhead by 6-7x

Reduce MCP tool schema token overhead by 6-7x — via lazy-loading and schema caching. Verified, not claimed. Every session writes a proof log to . Run to see your actual savings, not marketing estimates. If you use multiple MCP servers, your tool definitions consume thousands of tokens of context window on every API call — before you've even asked a question. With 10 servers × 10 tools × ~344…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.github.kira-autonoma
LicenseUnknown
Version0.2.0
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✓ 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

Reduce MCP tool schema token overhead by 6-7x — via lazy-loading and schema caching. Verified, not claimed. Every session writes a proof log to . Run to see your actual savings, not marketing estimates. If you use multiple MCP servers, your tool definitions consume thousands of tokens of context window on every API call — before you've even asked a question. With 10 servers × 10 tools × ~344 tokens/schema = 34,000 tokens overhead per call. At $3/MTok (Claude Sonnet): $0.10 wasted per call, or…

Keywords
mcp