io.github.egoughnour/code-firewall-mcp

MCPcommunity
v0.7.0io.github.egoughnourUnknownUpdated 5mo agoGitHub

Structural similarity-based code filter. Stops malicious code pattern reaching execution tools.

A structural similarity-based code security filter for MCP (Model Context Protocol). Blocks dangerous code patterns before they reach execution tools by comparing code structure against a blacklist of known-bad patterns. 1. Parse code to Concrete Syntax Tree (CST) using tree-sitter 2. Normalize by stripping identifiers and literals → structural skeleton 3. Embed the normalized structure via…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
5mo agoLast update
Package
Authorio.github.egoughnour
LicenseUnknown
Version0.7.0
Sourcemcp-registry
GitHubegoughnour/code-firewall-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—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.7.0 · 19d 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

A structural similarity-based code security filter for MCP (Model Context Protocol). Blocks dangerous code patterns before they reach execution tools by comparing code structure against a blacklist of known-bad patterns. 1. Parse code to Concrete Syntax Tree (CST) using tree-sitter 2. Normalize by stripping identifiers and literals → structural skeleton 3. Embed the normalized structure via Ollama 4. Compare against blacklisted patterns in ChromaDB 5. Block if similarity exceeds threshold,…

Keywords
mcp