sally-aiChat with Sally about metabolic health, blood sugar, A1C, nutrition, fasting, supplements, and lab results. Uses the Sally MCP server on Smithery with x402 m...
Install via ClawdBot CLI:
clawdbot install sally-labs/sally-aiChat with Sally about metabolic health via chat-with-sally MCP tool. Requires Smithery setup with x402 wallet.
Important: This setup stores your private key only in Smithery's cloud. Clawbot never sees or has access to your wallet private key.
smithery auth loginsmithery mcp add "sally-labs/sally-ai-mcp?privateKey=0xYOUR_PRIVATE_KEY" \
--id sally-ai \
--forceReplace 0xYOUR_PRIVATE_KEY with your dedicated wallet's private key (must include 0x prefix).
Security Note: Your private key is stored encrypted in Smithery's cloud, NOT on your local machine. Clawbot communicates with Smithery's API but never accesses your private key.
smithery tool call sally-ai chat-with-sally '{"message": "What is metabolic health?"}'Use chat-with-sally tool with {"message": "user's question"}:
report.message from the JSON response and present it to the userClawbot never sees your private key. Your wallet private key is stored only in Smithery's cloud and accessed via authenticated API calls.
Clawbot → Smithery API → Sally MCP
(API auth) (uses stored private key)Generated Mar 1, 2026
Individuals can ask Sally AI questions about blood sugar management, A1C interpretation, and nutrition strategies to better understand their metabolic health. This is useful for those monitoring prediabetes or seeking lifestyle improvements without medical consultation.
Nutrition professionals can use Sally AI to quickly access evidence-based information on glycemic index, supplements like berberine, and meal planning for clients with metabolic concerns. It aids in providing accurate, cited responses during consultations.
Companies can integrate Sally AI into employee wellness platforms to offer metabolic health education, covering topics like fasting, exercise effects, and sleep. This promotes preventive health measures in workplace settings.
Developers can embed Sally AI's chat-with-sally tool into fitness or health tracking apps to provide users with instant answers about lab results, fasting protocols, and supplement advice, enhancing app functionality.
Content creators in the health space can query Sally AI to gather reliable information for articles, videos, or podcasts on metabolic health topics, ensuring accuracy with citations from Sally's responses.
Users pay small x402 micropayments for each interaction with Sally AI, eliminating subscription fees and allowing pay-as-you-go access. Revenue is generated through transparent on-chain transactions on the Base network.
Sally AI licenses its MCP tool to businesses like wellness apps or corporate programs, charging based on usage volume or through enterprise agreements. This model scales revenue by targeting organizational clients.
Offer basic metabolic health queries for free to attract users, then charge for advanced features like personalized meal plans or in-depth lab analysis. This model encourages user adoption and upsells.
💬 Integration Tip
Ensure users set up a dedicated hot wallet with limited funds for security, and verify the Smithery MCP connection before use to avoid payment errors.
Plan, focus, and complete work with energy management, time blocking, and context-specific productivity systems.
Build habits with streaks, reminders, and progress visualization
Comprehensive AI-assisted therapeutic support framework with CBT, ACT, DBT, MI, session notes CLI, and crisis protocols.
iOS HealthKit data sync CLI commands and patterns. Use when working with healthsync CLI, fetching Apple Health data (steps, heart rate, sleep, workouts), pairing iOS devices over local network, or understanding the iOS Health Sync project architecture including mTLS certificate pinning, Keychain storage, and audit logging.
Retrieve and summarize health, sleep, activity, readiness, and biometric data from the Oura Ring API via a command-line interface.
Load and analyze Strava activities, stats, and workouts using the Strava API