lumen-mcp
Drives Lumen's data-to-SQL-to-chart-to-report loop from any MCP client, supporting keyless SQL and charting or keyed agentic data analysis.
README
lumen-mcp
Drive Lumen's data to SQL to chart to report loop from any MCP client (Claude Code, Claude Desktop, Cursor, VS Code, Goose, ...).
lumen-mcp is a standalone MCP server. It imports Lumen as a dependency and reuses Lumen's own
engine; it does not modify Lumen. A couple of not-yet-public Lumen helpers are reached via a small
_shims.py, which picks up the public API automatically once the installed Lumen exposes it.
Two modes
- Keyless (default, no API key). The host LLM you are already talking to writes the SQL and the Vega-Lite spec; lumen-mcp runs them through Lumen (DuckDB workspace, spec normalization, rendering, report export). The host is the agent.
- Keyed (opt-in). Lumen's own
SQLAgent/VegaLiteAgent/Plannerrun inside the server. You just describe what you want. Requires an LLM key (see below).
Same tools, same DuckDB workspace, same chart/report output. The key just flips the brain.
The session is a DuckDB workspace
Each SQL result is materialized as a real table (via Lumen's
DuckDBSource.create_sql_expr_source(materialize=True)), so results accrete in one connection and
you reference them by table name. Charts and reports bind to those tables.
Keyless tools
connect_source(uri, name?)- connect a.db/.duckdb,.csv,.parquet,.json, or:memory:.list_tables()/describe_table(table)- schema + a small sample.run_sql(sql, name?)- execute; the result becomes tablename; returns columns + sample.render_vegalite(spec, table)- normalize the spec, render; returns an inline PNG plus saved PNG/HTML paths and aui_uri.refine_chart(chart_id, spec_patch)- deep-merge a patch and re-render under the same id.get_chart(chart_id)/list_charts()- fetch or list rendered charts.view(target)- show a chart (by id) or a saved.pnginline; HTML files return a path to open.build_report(items, title, formats?)- assemble charts + markdown into a self-contained HTML and a reproducible.ipynb; returns inline chart previews too.save_session(path)/load_session(path)- persist and restore the workspace and its charts.launch_dashboard()/stop_dashboard()- serve the session's charts + tables as a live, interactive Lumen dashboard (a backgroundpanel serveprocess) at a localhost URL.
Charts are also served as ui://lumen/chart/{id} MCP-App resources (interactive HTML) for
Apps-capable hosts (Claude Desktop/web).
Keyed mode (Lumen's own agents)
Start the server with an LLM key in the environment and one extra tool appears:
OPENAI_API_KEY=... lumen-mcp # or ANTHROPIC_API_KEY=...
lumen_ask(prompt)- Lumen's own Planner + SQLAgent + VegaLiteAgent run headless over the workspace: Lumen writes and runs the SQL and builds the chart itself. Returns the chart inline plus the generated SQL and a summary.
Set LUMEN_MCP_LLM_MODEL to override the default model (gpt-4o / claude-sonnet-4-5).
You can also enable keyed mode at runtime without restarting:
set_llm_key(api_key, provider, model?)- configure a key mid-session (it passes through the conversation, so prefer the env var for anything sensitive and rotate afterward).ui://lumen/setup- an in-chat key-entry pane on Apps-capable hosts (Claude Desktop/web) that submits the key without routing it through the model.
Until a key is configured, lumen_ask returns a clear "not configured" message.
Live dashboard
launch_dashboard() runs a Panel server (inside lumen-mcp, reusing the panel-live-server pattern)
that reconstructs the session's charts and tables into a live, interactive dashboard and returns a
http://localhost:PORT/... URL. Unlike the static HTML export, its widgets and tables re-query the
DuckDB workspace live. stop_dashboard() shuts it down. Requires a local browser (localhost).
Quick start
pip install -e .
python examples/make_sample_db.py # writes sample.db
# register with your client, e.g.:
# claude mcp add lumen-mcp -- lumen-mcp
Then, in the client: connect to sample.db, run a GROUP BY query, and render a bar chart.
Development
pip install -e ".[dev]" # editable install with pytest
pytest # run the tests
ruff check src tests examples
Tests: test_slice (keyless logic), test_roundtrip (MCP protocol), test_dashboard (spawns a live
server), test_keyed (skips unless an LLM key is set).
Status
Keyless loop + delivery hardening + live dashboard + keyed agentic mode (15 tools). See CHANGELOG.md for details.
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