# Sally Skills > Sally Skills is a metered MCP server + REST API that exposes the clinical-grade metabolic-health intelligence behind Sally AI (the AI inside the A1C Insights iOS app) to AI agents. One bearer key (`sk-sally-…`), six skills, per-call pricing in USD, no subscription. Canonical names: - **Sally AI** — the underlying metabolic-health intelligence (the brand). - **Sally Skills** — the MCP + REST API gateway (this product, at `sally.a1c.io`). - **A1C Console** — developer dashboard (this site, at `console.a1c.io`). - **A1C Insights** — consumer iOS app, the identity source for every Sally Skills API key. ## What an agent can do with Sally Skills - `health_sync` (FREE) — pull 64+ daily biomarkers from the user's wearables, CGM, sleep, vitals, activity, and environment into the agent's context. Requires the user has the A1C Insights app installed. - `chat_with_sally` ($0.003 / call) — conversational access to Sally's preventive-health and Traditional Chinese Medicine knowledge with source citations. Evidence-graded, never invented. - `analyze_lab_result` ($0.008 / call) — parse and interpret lipid, HbA1c, CBC, thyroid, hormone, micronutrient panels via VLM OCR. Returns risk flags, reference ranges, and ADA / ACC / ESC guideline context. - `food_journal` ($0.004 / call) — grade a meal photo. Returns macros, glucose-spike prediction, and Smart-vs-Trap categorisation. - `health_insights` ($0.003 / call) — morning / afternoon / evening readouts synthesised from sleep, vitals, and activity. Built for daily-briefing agents. - `metabolic_overview` ($0.005 / call) — full CGM snapshot for a date: time-in-range, glycemic variability, dawn phenomenon, postprandial response curves. Requires the user has an active CGM in A1C Insights. ## Docs - [Landing](https://console.a1c.io/): product overview, hero, pricing. - [Docs](https://console.a1c.io/docs.html): introduction, quickstart, authentication, MCP integration (Claude Code, Claude Desktop, Manus, Perplexity, Codex, Windsurf, Google Antigravity), REST protocol, wallet, error codes. - [MCP integration section](https://console.a1c.io/docs.html#mcp): copy-paste config for every supported agent. - [Skill catalog](https://github.com/Sally-A1C/ai-sally-skills/blob/main/SKILLS.md): full input + output schemas with error codes. - [System design](https://github.com/Sally-A1C/ai-sally-skills/blob/main/SYSTEM_DESIGN.md): architecture, sequence diagrams, billing model. - [Per-skill mechanics](https://github.com/Sally-A1C/ai-sally-skills/tree/main/packages): one README per skill. ## How to call Sally Skills Server endpoint: `https://sally.a1c.io` Auth: `Authorization: Bearer sk-sally-...` (mint at https://console.a1c.io/keys) Transports: MCP (Streamable HTTP, JSON-RPC 2.0) at `/mcp`, REST at `/v1/call` and `/v1/skills/:name`. Universal MCP config (works in Claude Code, Claude Desktop, Cursor, Manus, Perplexity, Codex, Windsurf, Google Antigravity): ```json { "mcpServers": { "sally": { "url": "https://sally.a1c.io/mcp", "headers": { "Authorization": "Bearer sk-sally-..." } } } } ``` REST smoke test: ```bash curl -sS https://sally.a1c.io/v1/call \ -H "Authorization: Bearer sk-sally-..." \ -H "Content-Type: application/json" \ -d '{"skill":"health_sync","input":{}}' | jq ``` ## Optional - [GitHub: gateway source](https://github.com/Sally-A1C/ai-sally-skills): metered Hono gateway in TypeScript/Bun. - [GitHub: public docs + agent guides](https://github.com/a1c-ai-agent/sally-skills): Markdown docs site + `SKILL.md` auto-routing layer for agents. - [A1C Insights on the App Store](https://apps.apple.com/id/app/a1c-insights/id6748399956): the iOS app users install to mint an account. - Contact: ai@sallya1c.com