L3  user MCP compositions  (composite manifests, served in-proc on fd-daas-mcp)
L2  workflow manifests      (daas.db `workflows` table + engine, run via workflow_run)
L1  fd-daas-mcp            (consolidated infra: daas/cron/alerts/dashboard/composite/research/pdf/gateway/workflow)
L0  fd-open-data-mcp       (sole data-fetch upstream; concept-based semantic fetcher + entity master)

curl -fsSL https://raw.githubusercontent.com/FindDataTechnology/fd-daas-mcp/master/install.sh | sh

# 1. Provision the root venv (data libs are declared deps)
uv sync

# 2. Provision the database - creates daas.db (full schema + dep-free starter
#    catalog of sources). DAAS_DATABASE_URL is OPTIONAL: unset, it defaults to
#    ./daas.db (writable cwd) or ~/.fd-daas-mcp/daas.db. Set it only to relocate.
fd-daas-mcp/.venv/bin/fd-daas-mcp init       # one-shot provision + seed
fd-daas-mcp/.venv/bin/fd-daas-mcp doctor      # read-only health check (path, schema, row counts)

# 3. Configure credentials - create a repo-root .env for the source keys you need
#    (listed in Environment Variables below). Scripts auto-load .env; no manual export.

# 4. Compute an existing indicator (upserts into observations)
uv run python .claude/skills/fd-daas-based-data-fetch/scripts/run_indicator.py SPY_ma5

# 5. Query daas.db directly (db lives at the resolved DAAS_DATABASE_URL, default ./daas.db)
sqlite3 daas.db "SELECT name, datasource, op FROM indicator_rules LIMIT 10"
sqlite3 daas.db "SELECT source, COUNT(*) FROM observations GROUP BY source"

# 6. Launch / health-check the consolidated server
fd-daas-mcp/bin/fd-daas-mcp-server                       # stdio server (what .mcp.json launches)
fd-daas-mcp/.venv/bin/python -m daas.fd_daas_mcp.selfcheck   # registry + tool health check (target: failed=0)

# 7. Run a workflow manifest (L2 — the fetch path goes L1→L0)
fd-daas-mcp/.venv/bin/python -c "
from daas_mcp_workflow_tools import workflow_run   # or via the MCP tool
print(workflow_run('fetch-and-persist', params_json='{\"entity\":\"SPY\",\"indicator\":\"ma5\"}'))
"

daas/
├── .claude/skills/          # Claude Code skills (fd-daas-based-data-fetch is the core fetch shell)
├── fd-daas-mcp/             # Consolidated MCP server — sole .mcp.json entry (161 tools, 9 groups)
│   ├── alerts-mcp/          #   alert rule engine + 7 notification channels
│   ├── composite-mcp/       #   user MCP composition (curate tools + embed workflows + prompt)
│   ├── cron-mcp/            #   task + schedule registry (DB-backed)
│   ├── daas-mcp/            #   datasource/function/indicator/entity catalog + compute + rules
│   ├── dashboard-mcp/       #   standalone-HTML dashboard registry + query
│   ├── gateway-mcp/         #   L0 upstream registry + call routing (former leader gateway half)
│   ├── workflow-mcp/        #   manifest-based multi-step data workflows (former leader workflow half)
│   ├── pdf-mcp/             #   local PDF/text semantic search (sqlite-vec) [optional]
│   ├── research-mcp/        #   persisted research bundle (collections + indicators + dashboard + report)
│   ├── bin/fd-daas-mcp-server      # launcher
│   └── daas/fd_daas_mcp/   # server.py / registry.py / cli.py / selfcheck.py
├── daas.db                  # Shared SQLite database (ships as a demo dataset: registry + observations + scraw_*)
├── dashboards/              # Standalone HTML dashboards (+ index.html, daas.md)
├── construction/            # Architecture docs (mcp.md — layered L0/L1/L2/L3)
└── .env                     # DAAS_DATABASE_URL, proxy, source auth keys, LLM config, ...