io.github.DanielBlomma/cortex

MCPcommunity
v0.4.2io.github.DanielBlommaUnknownUpdated 4mo agonpmGitHub

Local repo context for coding assistants with semantic search and graph relationships.

The context layer for AI-assisted software engineering. Cortex is a local, repository-scoped context engine for coding assistants. It parses your source code with tree-sitter, indexes it into a structured knowledge graph of entities (files, symbols, rules, ADRs) and their relationships (calls, defines, constrains, implements, supersedes), and serves that context to AI assistants over the Model…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.DanielBlomma
LicenseUnknown
Version0.4.2
Sourcemcp-registry
npm@danielblomma/cortex-mcp
GitHubDanielBlomma/cortex
Trust Status
A
95/100Trusted
✓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)+5/5
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance✓ Sigstore-verified · f6bdd88
Dependencies✓ 0 resolved · none vulnerable
Tool surface32 tools · none privileged
Security scan✓ Cleanv2.1.1 · 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

The context layer for AI-assisted software engineering. Cortex is a local, repository-scoped context engine for coding assistants. It parses your source code with tree-sitter, indexes it into a structured knowledge graph of entities (files, symbols, rules, ADRs) and their relationships (calls, defines, constrains, implements, supersedes), and serves that context to AI assistants over the Model Context Protocol (MCP). Where a general-purpose AI assistant sees your codebase as a pile of text…

Keywords
mcp