Problem
Context7 is an MCP server that provides up-to-date library documentation to AI assistants (Claude, Cursor, Copilot). When developers ask their AI assistant about OtterSight, Context7 has no documentation to serve — the AI falls back on (potentially stale) training data.
Expected behavior
AI assistants using Context7 can fetch current OtterSight documentation:
User: "How do I use @ottersight/scanner to scan a project?"
AI: [fetches docs from Context7] → accurate, up-to-date API reference
Scope
- Register
@ottersight/scanner and @ottersight/cli in Context7's library index
- Provide structured documentation covering:
scanLocal() API (parameters, return types, examples)
loadKev(), loadEuvdMapping(), lookupLatestVersions() APIs
- CLI usage (
ottersight scan ., flags, exit codes)
- Docker usage
- Prerequisites (Syft, Grype)
References
Problem
Context7 is an MCP server that provides up-to-date library documentation to AI assistants (Claude, Cursor, Copilot). When developers ask their AI assistant about OtterSight, Context7 has no documentation to serve — the AI falls back on (potentially stale) training data.
Expected behavior
AI assistants using Context7 can fetch current OtterSight documentation:
Scope
@ottersight/scannerand@ottersight/cliin Context7's library indexscanLocal()API (parameters, return types, examples)loadKev(),loadEuvdMapping(),lookupLatestVersions()APIsottersight scan ., flags, exit codes)References