📄️ 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? MCP Bundle Format Reference
Reference guide for the .mcpb file format. Structure, fields, examples, and how MCP clients like Claude Desktop use .mcpb files to install servers with one click.
📄️ 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.