Three Tools That Make AI Agents Production-Ready
Visual workflow design in VS Code, agent behavior analytics, and usable Model Context Protocol support.
Three Tools That Make AI Agents Production-Ready
AI agent infrastructure just leveled up. Three new tools dropped that move us from research demos to production workflows: visual agent orchestration in VS Code, unsupervised behavior analysis, and TypeScript tooling that makes Anthropic's Model Context Protocol actually usable.
CC Workflow Studio: Drag-and-Drop Agent Orchestration
CC Workflow Studio brings visual workflow design directly into VS Code. Drag components, connect agents, define multi-step processes — all through a canvas interface that generates executable workflows.
Supports Claude Code, GitHub Copilot, and Cursor with natural language editing. One-click export means you can prototype visually then run in production. Already at 4.6K GitHub stars.
Hodoscope: See What Your Agents Actually Do
Hodoscope tackles the black box problem. It uses unsupervised learning to analyze agent trajectories at scale, surfacing unexpected behaviors and patterns you'd never catch manually.
Visualize thousands of agent actions, compare across models and configurations, discover edge cases before users do. Essential for anyone running agents in production.
MCPorter: Model Context Protocol Made Simple
MCPorter solves Anthropic's Model Context Protocol adoption problem with TypeScript runtime and auto-discovery. Zero-config MCP server detection, typed clients, one-command CLI generation.
MCP is powerful but painful to implement. MCPorter abstracts the complexity while keeping the composability.
These aren't flashy demos — they're the boring infrastructure that makes AI agents actually work at scale.
Try CC Workflow Studio • Analyze with Hodoscope • Build with MCPorter
Featured Tools
CC Workflow Studio
A Visual Studio Code extension that provides a drag-and-drop workflow editor for designing AI agent orchestrations. Create and manage multi-agent work
MCPorter
A TypeScript runtime, CLI, and code generation toolkit for the Model Context Protocol (MCP) that helps developers discover, call, and compose automati
Hodoscope
An open-source tool for analyzing AI agent behavior through unsupervised learning. It summarizes, embeds, and visualizes agent trajectories to help re
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