Topic
A practical decision framework for choosing how to expose your knowledge or methodology to a client’s AI — MCP server (multi-service connector), direct API (single-function endpoint), or installed Skill (workflow bundle) — and how to stack all three when the audience demands it.
Target Reader
Consultants, coaches, course creators, and IP-driven solopreneurs who want their expertise to be callable from the AI tools their clients already use (Claude, Cowork, Cursor, etc.) — but who are not sure which technical pattern fits their offering, audience, and IP-protection requirement.
The Fear / Frustration / Want / Aspiration
The fear: MCP is being hyped as the universal answer when it might be the wrong pattern for your specific case. The frustration: vendor docs describe each pattern in isolation, never side-by-side, never with tradeoffs named. The want: a clean decision framework. The aspiration: knowledge entrepreneurs who choose the pattern that matches their IP-protection strategy, not the one that sounds most impressive.
Before State
The reader has read the MCP press but hasn’t shipped anything. They suspect they should be exposing their methodology to clients’ Claude sessions but cannot articulate whether API, MCP, or Skill is the right pattern. They worry that picking the wrong pattern will either expose too much IP or fail to be useful.
After State
The reader has a clear decision tree. They know which pattern fits their offering today and they understand the stacking pattern (API at the core, MCP wrapping it, Skill wrapping that) that lets them serve all three audiences from one core asset.
Narrative Arc
Open with the misconception — MCP-as-default. Walk through the three patterns side by side: what they expose, who consumes them, how fast they are, how much IP they reveal. Show the failure modes of each. Reveal the stacking pattern as the mature answer. Close with the forward-looking framing — design your interfaces for agents, not humans.
Core Argument
APIs, MCP servers, and Skills are three distinct distribution patterns with three distinct tradeoffs. API = fastest, hides IP, narrow audience. MCP = multi-service convenience, moderate speed, moderate IP exposure. Skill = workflow distribution, readable methodology, easiest install for non-technical users. The right answer is rarely “just MCP” — it is usually a stack: API at the core (the protected IP), MCP as a connector (for power users), Skill as the install wrapper (for the broadest audience). One core asset, three audience layers.
Key Evidence / Examples
- Lou’s contrast between Gears (skill-wraps-API pattern) and Janssen Legal (MCP pattern) — two of his own products that chose different patterns for different reasons.
- The IP-exposure asymmetry: APIs reveal responses, Skills reveal methodology. Choose by what your moat actually is.
- Dirk’s original framing on the call — “let clients add my MCP to their Claude” — used as the reader-relatable starting question.
- The “design for agents, not humans” forward-looking framing — Lou’s point that 12–18 months from now, your interfaces will mostly be consumed by other agents.
- The speed differential: Lou’s claim that “API is about 10 times faster than MCP because it doesn’t have to go through as much thinking.”
Proposed Structure (5–7 beats)
- The MCP-as-default trap. Open with the question Dirk asked, and the reason “just ship an MCP” is the wrong default answer.
- API: fastest, narrowest, most protected. What it exposes, when it wins, what it costs.
- MCP: the multi-service connector. What it exposes, when it wins, the speed tradeoff.
- Skill: the workflow install. What it exposes (everything), when it wins (non-technical audience), the IP-readability tradeoff.
- The IP-protection axis. Choose by what your moat actually is — what you know (API) or how you work (Skill).
- The stacking pattern. API at the core, MCP wrapping it, Skill wrapping that. One core asset, three audience layers. The cost is not 3x.
- Design for agents. The forward-looking framing — your consumers in 12–18 months will mostly be other agents. Build well-typed contracts, not pretty UIs.
Related Insights
- Insight - MCP vs API vs Skill — Three Patterns for Exposing Your Knowledge to Clients’ AI (primary)
- Insight - Platform as Interface, Not Custodian — The Resolver Pattern for Portable AI Intelligence
- Insight - Build a Living Prompt Library Behind an MCP Server
- Insight - Persistent AI Memory via MCP - Building a Cross-Session Intelligence Layer
- Insight - Skills Encode Judgment Into Persistent, Composable Intelligence
Editorial Notes
This is the most technical of the briefs in this batch. The reader will likely be more sophisticated than the average AIM reader — comfortable with API/MCP/Skill terminology. Resist over-explaining what each pattern is; the reader knows. The article’s value is in the side-by-side tradeoff comparison and the stacking insight.
Keep the “design for agents not humans” beat short and punchy at the end — it is the one beat that distinguishes this article from a vendor’s MCP docs. Without it, the article reads like reference material; with it, the reader leaves with a different mental model.
Next Step
- Approved for drafting
- Needs revision
- Deprioritised