📄️ How MCPBundles Works
Understanding the architecture from bundles to tools to providers. Learn how the four-layer system connects your AI assistants to real-world APIs.
📄️ Understanding Bundles
What bundles are, how they're organized, and their lifecycle. Learn about bundle categories, publication status, readiness states, and how to manage them.
📄️ The Hub Endpoint
One MCP URL for all your tools. The Hub aggregates every enabled bundle into a single endpoint with dynamic discovery and execution.
📄️ Execution Modes (Direct vs Dynamic)
Understand how bundles run in Direct vs Dynamic mode, why Dynamic exists, and the 100-tool limit for Direct.
📄️ Understanding Providers
External APIs, authentication methods, and credential management. Learn how to connect providers, manage OAuth tokens, API keys, and verify credentials.
📄️ Understanding Workspaces
How workspaces organize your MCPBundles environment. Learn about personal vs team workspaces, what's shared, permissions, and how the workspace boundary provides privacy.
📄️ MCP Resources & File Storage
Understanding MCP Resources and how to use file storage with your AI
📄️ What is an .mcpb file?
Understanding .mcpb extension files - the open packaging format for MCP servers, how they work, and how MCPBundles uses them for one-click cloud-connected installation.
📄️ Understanding Skills
What SKILL.md files are, how they work with MCP bundles, and why domain knowledge makes AI assistants more effective at using tools.