AI assistants are now the first place people go to ask questions about their business, including questions about AI and technology spend. The problem comes when someone asks "what did we spend on AI last quarter," the assistant either guesses, or someone pastes in a CSV that's already stale by the time it's answered. That's a governance gap: judgment made on secondhand data, outside any controls, outside your permission model.

The Ternary MCP server closes it. Connect Claude, ChatGPT, VS Code, or any MCP-compatible assistant directly to your live technology P&L. No more exports, copy-paste, or shadow spreadsheets standing in for the system of record. Data spans every Custom Label, Custom Measure and provider integrated into Ternary. Ask questions of your data from Anthropic, AWS, Azure, GCP, Oracle Cloud, Alibaba Cloud, Databricks, Snowflake, MongoDB Atlas, OpenAI, and any custom source brought in via BYOD.

• "What did we spend on BigQuery last quarter, broken out by project?"
• "Is the Q3 infrastructure budget on track, at risk, or over?"
• "What moved on the Engineering dashboard this week, and which services drove it?"
• "Pull the saved AI Observatory report and show me token spend by model family."

What it does:

• Live cost queries - The assistant discovers your real dimensions and measures, then runs queries against FOCUS-normalized, finance-grade attribution - the same data model behind every report in Ternary.
• Saved reports and dashboards, on demand - Pull existing reports or ask what changed on a dashboard week-over-week, with drivers surfaced automatically.
• Budget status, instantly - Spend to date, projected month-end, and health status.
• Governed by design - OAuth-authenticated, read-only, and permission-scoped to exactly what the requesting user can already see in Ternary. No new access is created.

Learn more on how to connect your preferred AI assistant here.