Any agent (Claude Code via MCP stdio, or sub-agents via HTTP :3700)
can now self-orient without human explanation:
GET /context returns:
- System purpose and name
- All datasets with row counts
- All vector indexes with backends
- Available models and their strengths
- Complete tool list with rules
- Current VRAM state
POST /verify fact-checks any claim about a worker against the golden
data. Agent says "worker 1313 is a Forklift Operator in IL with
reliability 0.82" → endpoint returns verified=true/false with exact
discrepancies.
MCP resources (stdio path for Claude Code):
- lakehouse://system — live system status
- lakehouse://architecture — full PRD
- lakehouse://instructions — agent operating manual
- lakehouse://playbooks — successful operations database
- lakehouse://datasets — dataset listing
This is the "command and control" layer J asked for: any agent
connecting to this system gets the context it needs to operate
independently. No human intermediary required.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
MCP server at mcp-server/index.ts — 9 tools exposing the full
lakehouse to any MCP-compatible model:
search_workers (hybrid SQL+vector), query_sql, match_contract,
get_worker, rag_question, log_success, get_playbooks,
swap_profile, vram_status
The "successful playbooks" pattern: log_success writes outcomes
back to the lakehouse as a queryable dataset. Small models call
get_playbooks to learn what approaches worked for similar tasks —
no retraining needed, just data.
generate_workers.py scales to 100K+ with realistic distributions:
- 20 roles weighted by staffing industry frequency
- 44 real Midwest/South cities across 12 states
- Per-role skill pools (warehouse/production/machine/maintenance)
- 13 certification types with realistic probability
- 8 behavioral archetypes with score distributions
- SMS communication templates (20 patterns)
100K worker dataset ingested: 70MB CSV → Parquet in 1.1s. Verified:
11K forklift ops, 27K in IL, archetype distribution matches weights.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
