io.github.montanetech/codeix

MCPattested
v0.5.0io.github.montanetechUnknownUpdated 5mo agonpmGitHub

Fast semantic code search for AI agents — find symbols, references, and callers across any codebase

codeix.dev · Fast semantic code search for AI agents — find symbols, references, and callers across any codebase. AI coding agents spend most of their token budget finding code before they can work on it. They grep, read files, grep again, backtrack. On a large codebase the agent might burn thousands of tokens just locating the right function — or worse, miss it entirely and hallucinate. Codeix…

Attested build
A verified provenance attestation binds this artifact to the listed repository. Nobody has claimed the listing yet — this proves where the code was built, not who stands behind it.
5mo agoLast update
Package
Authorio.github.montanetech
LicenseUnknown
Version0.5.0
Sourcemcp-registry
npmcodeix
GitHubmontanetech/codeix
Trust Status
A
85/100Trusted
✓Listed in Forge index+10/10
✓Identity verified · attested build+20/20
—Ed25519 publish signature+0/5
→ 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>" }
✓npm Trusted Publishing (Sigstore)+5/5
—npm maintainer match+0/5
→ Publisher: add the verified GitHub login to the npm package's maintainers (npm owner add <login>)
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusIdentity verified
PublisherUnverified
SignatureUnsigned
Domain—
Provenance✓ Sigstore-verified · e96c2d1
Dependencies✓ 0 resolved · none vulnerable
Tool surface—
Security scan✓ Cleanv0.5.0 · 2mo 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

codeix.dev · Fast semantic code search for AI agents — find symbols, references, and callers across any codebase. AI coding agents spend most of their token budget finding code before they can work on it. They grep, read files, grep again, backtrack. On a large codebase the agent might burn thousands of tokens just locating the right function — or worse, miss it entirely and hallucinate. Codeix gives the agent a pre-built map of your codebase. One structured query returns the symbol name, file,…

Keywords
mcp