Automated release from CI pipeline
Changes:
feat(tools): scaffold ruview MCP server + CLI + ADR-104 (#705)
Adds two new npm packages that expose RuView's WiFi-DensePose
sensing capabilities outside the Cognitum appliance ecosystem:
-
tools/ruview-mcp/ (@ruv/ruview-mcp) — MCP server with 6 tools:
ruview_csi_latest, ruview_pose_infer, ruview_count_infer,
ruview_registry_list, ruview_train_count, ruview_job_status.
Uses @modelcontextprotocol/sdk with stdio transport.
6/6 smoke tests pass. TypeScript strict mode, Node 20. -
tools/ruview-cli/ (@ruv/ruview-cli) — Yargs CLI with matching
subcommands: csi tail, pose infer, count infer, cogs list,
train count, job status. Same fail-open pattern as the cog
binaries (WARN to stderr, exit 0 on unavailable sensing-server). -
docs/adr/ADR-104-ruview-mcp-cli-distribution.md — design rationale,
6-row threat table, packaging plan, acceptance gates, failure modes. -
docs/research/sota-2026-05-22/HORIZON.md — 12-hour horizon plan
with 7 milestones tracked (M1 complete in this commit).
Both packages are private:true pending the user's publish decision.
Inference is via subprocess to the signed cog binaries (ADR-100/101/103)
— no JS/WASM ML engine bundled.
Docker Image:
ghcr.io/ruvnet/RuView:3f462a254d1a8a3a9f839173b261b17f63471010