Helix the Robot
Helix Helix
AI charting for arbitrary data

Connect live data.
Generate charts you can ship.

Helix works across databases, warehouses, CSVs, and APIs. Ask in plain English, then tighten the graph pipeline with explicit chart, plugin, data-platform, and export controls when the agent needs more direction.

Read-only database access
Candlestick, Sankey, heatmap, waterfall
PNG, SVG, PDF, JSON, embed

Connect to the systems that already hold the data

PostgreSQL Snowflake Databricks MySQL BigQuery MongoDB Stripe API Excel / CSV PostgreSQL Snowflake Databricks MySQL BigQuery MongoDB Stripe API Excel / CSV
Graph pipeline

From raw tables to a usable answer

Helix maps schema, plans queries, picks chart types, validates the output, and still leaves room for explicit instructions when the AI needs tighter bounds.

Live sources

Talk directly to the database. No export loop required.

Give Helix read-only access to Postgres, Snowflake, APIs, or files. It maps relationships, timestamps, and likely measures before writing the query plan.

More control

Stay conversational. Be explicit when the source or output matters.

Keep the natural-language flow, then clarify the run with plain instructions about source system, grouping, preferred chart, or export format when you want more predictable behavior.

Finance charts

Candlestick and OHLC without hand-wiring Plotly.

Ask for financial visuals directly. Helix can generate candlestick, OHLC, moving averages, and other market-facing chart types from the same pipeline.

Candlestick preview
Render preview

The output is still a chart, not just a paragraph.

Helix returns a concrete figure that can be reviewed, exported, and embedded. The AI explanation sits next to the visualization instead of replacing it.

Defensive runtime

Built for messy user data and awkward edge cases.

The pipeline checks types, validates render assumptions, and keeps fallback routes in place so arbitrary datasets do not derail the whole chart request.

Advanced visuals

Waterfalls, Sankeys, heatmaps, and the charts operations teams actually ask for.

Helix is meant for real reporting work. When a prompt calls for a waterfall, Sankey, or another specialized visual, the output should look like a real chart, not a generic placeholder.

Waterfall preview
Platforms and exports

One path from source systems to finished outputs.

Helix sits between live data platforms and delivery targets. That means the agent can reason about connectors, chart plugins, and final export surfaces in one request instead of stitching tools together.

For Claude, Codex, and custom agents

Install the MCP server and let your agent work against real data.

The Helix Model Context Protocol server gives local or cloud LLMs access to the same charting workflow: live data connections, plugin-aware graph generation, and export control in a single tool call.

# 1. Install the Helix MCP server
npm install -g @askfelix/mcp-server

# 2. Connect it to Claude Desktop or your own agent runtime
helix-mcp connect --db postgres://local...

> MCP server running. Agent can now query data and request charts.
Ready to use

Stop querying.
Start answering.

Use Helix to go from raw data to chart, explanation, and export without bouncing between separate BI and AI tools.

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