What is MCP, and why do AI agents need a standard connection layer?
Learn how MCP lets agents discover tools, receive context, and invoke skills without a custom integration for every platform.
By Ocean Labs · Published
What problem does MCP solve?
An AI agent becomes useful when it can work with real tools and data. Before MCP, every application tended to invent its own format for context, tool descriptions, and authentication.
Model Context Protocol gives clients and servers a shared way to expose tools, resources, and prompts.
How OceanSkill uses MCP
The marketplace exposes only enough metadata for evaluation. Full SKILL.md content is delivered through MCP after the API key and usage entitlement are verified.
- check_circleDiscover active skills.
- check_circleCheck versions and compatible clients.
- check_circleRecord usage and debit credits after successful execution.
OceanSkill
Learn how MCP lets agents discover tools, receive context, and invoke skills without a custom integration for every platform.

