Uber Eats Automation

Integrates with the Strava API to retrieve and analyze athlete activities data, enabling fitness tracking and performance monitoring over time.

A cloud-native solution specifically designed for LLM (Large Language Model) agents, providing an anti-association fingerprint browser environment and automated interaction APIs. There is no need to deploy a local environment, eliminating performance bottlenecks and operation and maintenance burdens, allowing developers to focus on the development of core logic.

Integrates Claude Desktop with Headless Agents API, enabling direct interaction and leveraging agent capabilities for task automation, information retrieval, and complex decision-making processes.

A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleCI's infrastructure and the Model Context Protocol, enabling enhanced AI-powered development experiences.

Bridges campaign tools and data to enable dynamic tool registration, endpoint discovery, and information retrieval for RFK Jr's presidential campaign.

Allows AI assistants such as Cursor/Cline/GitHub Copilot to use Google's lighthouse tool to measure perf metrics. You can then run an agentic loop and get the assistants to optimize those metrics!