MCP
Moves data and tools into reach.
MCP standardizes how an AI client can discover resources, read context, and invoke remote tools.
AdSkills
Skills that can work with MCP, not disappear into it.
Skills and MCP
AdSkills can use MCP when MCP is useful. But a protocol for exposing tools and resources is not the same thing as a packaged advertising capability. One gives access. The other gives judgement.
Distinction
Treating MCP as the whole solution collapses “access to information” and “competence at the task” into one thing. They are not one thing.
MCP
MCP standardizes how an AI client can discover resources, read context, and invoke remote tools.
AdSkills
A skill knows what to do with campaign data, how to reason about tradeoffs, and what output format an operator or system needs next.
Together
That separation matters, because access alone does not make an agent competent at advertising.
Architecture
Use MCP when you need standardized access to resources. Use a skill when you need the system to actually understand an advertising task and produce a credible next move.
Budget history, inventory snapshots, taxonomy docs, or reporting feeds can be exposed through MCP servers when that is the cleanest path.
The skill receives the relevant inputs and applies planning, optimization, or reporting logic built specifically for advertising operations.
That might be a recommendation, a structured transaction, or a next-step instruction another agent or human can review immediately.
Integration posture
If a skill only works when one protocol is present, the portability story is weaker than it should be.
MCP can sit underneath a skill, beside a skill, or not be involved at all. That is the right kind of modularity.