Codebase intelligence for AI coding agents — graph, git history, docs, decisions, code health.
The codebase intelligence layer for the AI era. Context your AI agent can use, and the health, risk, and ownership signals your team can trust. Five intelligence layers · Nine MCP tools · 15 languages · Multi-repo workspaces · One pip install Your AI coding agent reads files. It doesn't know which ones change together, which ones are dead, or why they were built the way they were. It has the…
Inferred from the transports this listing declares (stdio). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.
Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.
Forge read 0 source files from the published package tarball and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.
The codebase intelligence layer for the AI era. Context your AI agent can use, and the health, risk, and ownership signals your team can trust. Five intelligence layers · Nine MCP tools · 15 languages · Multi-repo workspaces · One pip install Your AI coding agent reads files. It doesn't know which ones change together, which ones are dead, or why they were built the way they were. It has the source code and no memory of how the codebase got there. repowise fixes that. It indexes your codebase…
Forge's dependency resolver reads npm metadata only, so this PyPI package has no resolved tree. That is a gap in coverage, not a clean bill of health.