Model-agnostic multi-agent system that discovers government benefits and insurance plans, validates eligibility, and produces prioritized enrollment action plans. Integrated with Google Antigravity via MCP for a conversational interface.
Empowers AI agents with direct access to the official ClinicalTrials.gov database, enabling programmatic searching, retrieval, and analysis of clinical study data through a Model Context Protocol interface.
Provides deterministic, verifiable text/code/measurement utilities for AI agents, enabling tasks like unit conversion, citation formatting, diffing, proofreading, readability scoring, and syntax checking with re-executable proof.
Provides computational tools for systematic reasoning, including boolean evaluation, date arithmetic, object counting, state tracking, and format validation, to enhance agent capabilities and eliminate calculation errors in reasoning tasks.
Allows Large Language Models to interact with Kroger's grocery services, enabling product search, store lookup, and cart management through the Model Context Protocol.
