Three Fresh AI Infrastructure Tools Just Shipped
Visual workflow editor, agent analytics, and TypeScript MCP toolkit — all open-source, all solving real developer problems.
Three Fresh AI Infrastructure Tools Just Shipped
The AI agent development ecosystem just got three critical missing pieces: visual workflow design, agent behavior analytics, and proper TypeScript tooling for MCP servers.
CC Workflow Studio
What: VS Code extension with drag-and-drop agent orchestration
Why now: Multi-agent workflows are getting complex, but we're still writing them in code
Who it's for: Developers building agent teams who want visual design tools
4.6K stars on GitHub — clearly hitting a nerve.
Hodoscope
What: Analytics for AI agent behavior through trajectory visualization
Why now: We're deploying agents but have no idea what they're actually doing at scale
Who it's for: Anyone running agents in production who needs to understand failure patterns
Try it at hodoscope.dev — the missing observability layer.
MCPorter
What: TypeScript runtime and CLI for MCP servers
Why now: MCP is gaining traction but tooling is still rough
Who it's for: TypeScript developers building MCP integrations
3.6K stars — zero-config server discovery and typed clients.
All three fill infrastructure gaps that platform vendors haven't addressed. Classic indie developer move: build the tools the ecosystem actually needs.
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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