EpiDash

A light, MCP-controlled dashboard service. EpidBot (and any MCP client holding a control key) builds, updates, publishes and unpublishes dashboards through an MCP tool surface; anyone with a dashboard link views it in a minimal web UI. Viewers can ask EpidBot to tweak a dashboard from the browser.

Live instance: https://dash.kwar-ai.com.br

EpidBot agent ──(MCP client, dk_ key)──▶ EpiDash /mcp (FastMCP tools)
                                            │
                       SQLite ◀─────────────┤ (dashboards, charts, keys, audit)
                                            │
Viewer browser ──(public link)──▶ EpiDash / (vanilla JS + Plotly)
      │                                 │
      └── tweak request ──▶ POST /api/dashboards/{slug}/tweak
                                 │  (X-Internal-Request: shared secret)
                                 ▼
                           EpidBot /api/v1/chat ──agent──▶ EpiDash MCP tools

Quick start

uv sync
uv run uvicorn epidash.main:app --port 8000

Then issue a control key and talk to the MCP endpoint:

uv run python -m epidash.cli add-key "local"
# → dk_...  (shown once)

# The MCP endpoint is stateless: one POST per call, no handshake needed.
curl -s -X POST http://localhost:8000/mcp \
  -H "X-API-Key: dk_..." -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

In an MCP client (e.g. Claude Desktop, Cursor, EpidBot):

{
  "mcpServers": {
    "epidash": {
      "url": "http://localhost:8000/mcp",
      "headers": { "X-API-Key": "dk_..." }
    }
  }
}

Configuration (environment variables)

MCP tools

Read-only: list_dashboards, get_dashboard, get_view_stats, get_audit_log (filterable by action and dashboard_id).

Mutations (audited): create_dashboard, update_dashboard, publish_dashboard (confirm), unpublish_dashboard (confirm), delete_dashboard (confirm), add_chart, update_chart, remove_chart (confirm), duplicate_dashboard, style_charts.

Live data sources

Charts can auto-update from a remote URL instead of holding a static snapshot. attach_data_source(chart_id, kind, url, refresh_interval_s=300, path=None) attaches a source:

A background refresher fetches due sources every 30s (minimum interval 30s) and replaces the chart's data on success — viewers pick the change up on their next poll, and chart cards show an ⇣ auto badge with refresh status. Failures never lose existing data; inspect them with get_data_source(chart_id), force a run with refresh_data_source, or stop with remove_data_source (confirm).

Chart data envelopes

spec accepts style overrides ({"color": "#4ade80"}, {"y_label": "cases"}) and position controls ordering/width ({"order": 1, "width": "half"}).

Viewer tweak flow

A viewer types a request ("show only the Southeast after 2020") into the dashboard's chat box. EpiDash forwards it as an EpidBot chat turn with the dashboard context; the EpidBot agent uses its EpiDash MCP tools to update the charts; the viewer's browser picks up the change on its next poll.

Viewers can also ask questions ("why did cases spike in March?") via the Ask button — the same chat pipeline, but the prompt instructs EpidBot to answer from the dashboard data without modifying it. No authentication is required for either; questions are recorded in the tweaks table with kind='question' and rate-limited separately from tweaks.

Requires EPIDBOT_BASE_URL + EPIDBOT_INTERNAL_SECRET (EpidBot must accept X-Internal-Request on its chat endpoint — see the EpidBot-side integration docs) or an ek_ API key.

Deployment

Single container, single volume:

docker compose up -d --build

Production (KwarAI) deploys this via the Ansible epidash role behind nginx at dash.kwar-ai.com.br — see the infrastructure repo.

Development

uv sync                  # deps
uv run pytest -v         # tests
uv run ty check epidash/ # type check

Browser end-to-end tests (headless chromium):

uv sync --group e2e
uv run playwright install chromium
uv run pytest tests_e2e -m e2e -v

License

MIT