MCP server for AI-assisted development of CAP applications

Agentic abstraction layer for building high precision vertical AI agents written in python for Model Context Protocol.

This repository demonstrates how to use Claude Code to do real engineering work, not just writing code. This project is the official supporting example repository of the Geek Time column "Claude Code Engineering in Practice". The goal is very clear: 👉 Turn Claude Code from a "conversational coding tool" into an engineering system that can be designed, reused, and managed.

A Fully free agentic browser driver for AI , few tools, full control, real stealth, top-tier token efficiency.

Code intelligence for AI assistants - MCP server, CLI, and HTTP API with symbol navigation, impact analysis, and architecture mapping

Reddit & X auto-reply bot — browser-based, Claude AI generated replies for Solvea/VOC.ai

Multi-AI orchestration framework for Claude Code — coordinate Claude, Codex, and Gemini with 7 workflow modes, parallel execution, and session unification

FlowLens is an open-source MCP server that gives your coding agent (Claude Code, Cursor, Copilot, Codex) full browser context for in-depth debugging and regression testing.

Simple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.

X/Twitter CLI for developers and AI agents — post, reply, search, DM, schedule, analyze. Single Rust binary.

Test that your Claude Code skills, MCP servers, and CLIs actually work when an agent uses them — sandboxed YAML suites, activation checks, A/B experiments, CI gates.