
Railway Agent Sandbox: The Practical Guide to Running AI Coding Agents Safely in the Cloud
Learn how Railway Agent sandboxes work, when to use them, and how to build secure AI coding agent workspaces on Railway.
A protocol-aware marketplace for builders: compare integrations, discover agent workflows, and move from search to setup faster.
Model Context Protocol
Standardizes how AI connects to external tools and data sources. Like an "AI's USB-C port" — one protocol to access databases, APIs, file systems, and more.
Agent-to-Agent Protocol
Enables interoperability between AI agents across vendors and frameworks. Agents discover, delegate, and collaborate — a "diplomatic protocol" for AI.
MCP connects agents with tools. A2A connects agents with agents.
Start here
High-signal entries to start exploring the A2A and MCP ecosystem.
New arrivals
Recently added resources for people who want to track what is new.
Reusable skills, channels, and workflow resources for agentic systems.

inference-sh
Generate AI videos with 40+ models (Veo, Seedance, Wan, Grok and more) via inference.sh CLI for text-to-video, image-to-video, avatar/lipsync, upscaling and foley.

inference-sh
Generate AI images with 50+ models via the inference.sh CLI.
Browse through curated categories of A2A and MCP ecosystem resources.
MCP-compatible servers providing tools, data, and API integrations for AI models.
Agents using the A2A protocol for cross-vendor collaboration and task delegation.
Autonomous AI agents for coding, browsing, research, and workflow automation.
SDKs, libraries, and frameworks for building agents and protocol integrations.
Developer tools, extensions, and ecosystem utilities.
Insights, guides, and analysis from the A2A MCP community.

Learn how Railway Agent sandboxes work, when to use them, and how to build secure AI coding agent workspaces on Railway.

Learn what Ostris AI Toolkit is, which models it supports, how to train LoRAs, and how to avoid setup, VRAM, and dataset mistakes.

Taste skill is your ability to judge quality and aesthetics. Learn the taste-skill gap, why it's essential in the AI age, and proven ways to develop it for standout work.
Common questions from builders exploring A2A and MCP.
MCP is a protocol for connecting AI models and agents to tools, files, databases, APIs, and other context sources through a common interface.
A2A focuses on agent-to-agent interoperability, helping agents discover capabilities, delegate work, and coordinate across vendors or frameworks.
Start with the workflow you need, then check official status, recent activity, client compatibility, security notes, and installation requirements.
Yes. Submit servers, clients, agents, frameworks, guides, and ecosystem resources for review so they can be listed in the directory.