io.github.semihkayan/codeweave

MCPcommunity
v0.1.20io.github.semihkayanUnknownUpdated 3mo agonpmGitHub

Save tokens while coding — your AI agent gets structured code context, not file dumps.

Give your AI agent structured code understanding — not just file dumps. CodeWeave is an MCP server that gives AI agents cheap, precise code intelligence. Instead of dumping entire files into context, your agent queries local indexes — AST, call graph, type graph, hybrid semantic search — and gets back only what it needs. Less tokens. More relevant context. Better decisions. The semantic search…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.github.semihkayan
LicenseUnknown
Version0.1.20
Sourcemcp-registry
npm@codeweave/mcp
GitHubsemihkayan/codeweave-mcp
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 surface8 tools · none privileged
Security scan✓ Cleanv0.1.20 · 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

Give your AI agent structured code understanding — not just file dumps. CodeWeave is an MCP server that gives AI agents cheap, precise code intelligence. Instead of dumping entire files into context, your agent queries local indexes — AST, call graph, type graph, hybrid semantic search — and gets back only what it needs. Less tokens. More relevant context. Better decisions. The semantic search pipeline is the heart of the system: a 6-stage hybrid engine combining vector embeddings, full-text…

Keywords
mcp