MCPFast / Tools / Sally Skills: Metabolic Brain for AI Agents via MCP
MCP/REST integration for AI agents, providing 64+ biomarkers and real-time insights for OpenClaw, Claude, Hermes.
View on GitHub→Sally Skills provides a crucial integration layer for AI agents, enabling them to access and process a comprehensive set of metabolic biomarkers. This skill leverages the MCP (Meta-Cognitive Protocol) to deliver real-time insights, enhancing the decision-making and operational capabilities of advanced AI systems. Designed for developers working with sophisticated AI architectures, Sally Skills bridges the gap between raw biological data and actionable intelligence for agents.
Sally Skills acts as a metabolic data gateway for AI agents. It connects to data sources and processes information to provide over 64 distinct biomarkers. This data is then made available to AI agents through an MCP/REST interface, allowing them to query and receive real-time metabolic status updates. This capability is essential for AI systems that require an understanding of biological states for complex tasks, such as in simulation, diagnostics, or advanced control systems.
This tool is specifically for AI developers and researchers building advanced AI agents that require sophisticated biological or metabolic data processing. It is ideal for those working with simulation environments, complex control systems, or any application where an AI agent needs to understand and react to metabolic states. If you are developing agents for fields like bio-robotics, medical diagnostics, or environmental monitoring, Sally Skills offers a direct path to integrating critical metabolic data.