shivasurya/code-pathfinder
AI-Native Static Code Analysis for modern security teams. Built for finding vulnerabilities, advanced structural search, derive insights and supports MCP
Performs cross-file taint analysis by building variable dependency graphs per function and connecting them through inter-procedural summaries, enabling detection of vulnerabilities that flow across file and function boundaries. Supports 190+ curated security rules for Python (Django, Flask, AWS Lambda, cryptography), Docker, and Docker Compose that auto-download from CDN. Exposes a Model Context Protocol server for AI assistants (Claude, Cursor, Cline) to query call graphs, trace data flows, and run security analysis during development.
110 stars.
Stars
110
Forks
13
Language
Go
License
AGPL-3.0
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
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