MCP Is the USB-C of AI: Why We're Betting on Model Context Protocol
Before USB-C, every device had its own cable. Before MCP, every AI integration was a snowflake. Why we're standardizing on Model Context Protocol as we build the Baxter Labs stack — and the three patterns we're leaning on most.
TL;DR: MCP (Model Context Protocol) is doing for AI integrations what USB-C did for cables — one standard, every model, no more bespoke glue per provider. We're betting on it as we build at Baxter Labs. If you're building AI products in 2026, adopt early or pay the migration tax in 18 months. Three patterns we're leaning on: thin servers, skill-bound servers, and permissioned servers.
If you remember the last decade of mobile, you remember the cable wars. Mini-USB, Micro-USB, Lightning, USB-C, the strange not-quite-USB ports on certain Android phones. Every device made its own decision, and your drawer filled with cables that almost worked.
USB-C ended that. One port, one cable, one mental model.
Model Context Protocol — MCP — is doing the same thing for AI integrations. And if you build with AI, you should be paying attention, because the cost of not standardizing here is going to compound fast.
The problem MCP solves
Until 2024, every AI tool integration was a snowflake. You wanted Claude to read your Google Drive? You wrote glue code. You wanted GPT-4 to read your Google Drive? You wrote different glue code. You wanted to swap between Claude and GPT and Gemini? You rewrote everything.
Worse, you couldn't share. If you built a great Notion integration for your team's Claude usage, the only way to give it to another team was to ship them your code. There was no protocol — no standard way to publish "this is how you talk to Notion from any model."
MCP, introduced by Anthropic and now being adopted broadly, is that protocol. It defines:
- How an AI client (Claude Code, Cursor, an agent) discovers what a server offers.
- How tools, resources, and prompts are described in a model-agnostic way.
- How auth, rate limiting, and capability negotiation work.
The result: write an MCP server once, and every MCP-compliant client can use it. Your Notion integration works in Claude Code, in Cursor, in your custom agent, in someone else's agent — same code, no rewrite.
Why we're betting on MCP across Baxter Labs
We've made the call to standardize on MCP for every internal integration as we build out the stack. Three reasons we're committing to it:
1. Provider-neutrality is a feature
We don't want to be locked to a single model provider. Claude is excellent at certain things; GPT is excellent at others; Gemini, Mistral, and the open-weight ecosystem are evolving fast. MCP lets us swap models without rewriting integrations.
This isn't theoretical for us. We've already moved a couple of internal subsystems from one provider to another while testing — and because the integrations were MCP-based, the swap was a config change, not a refactor. That's the kind of optionality we want to preserve as we keep building.
2. Internal reuse compounds
Every product we're building at Baxter Labs — Aeiva (our longevity app, AI health twin under the hood), AEDT, and the experimental tooling we use day-to-day — needs access to the same handful of services: auth, the customer database, analytics, notifications. Without a standard, each product would write its own glue. We're working toward one MCP server per service, used by every product.
This is the part the marketing material undersells. The unsexy benefit of standards is that your own team stops duplicating work.
3. Extensibility is built in, not bolted on
Because AEDT (the robotics platform we're designing) is being built to speak MCP, anyone building on top of it should be able to plug their own MCP servers in — their internal vision system, their proprietary motion planner, their compliance log — and have agents on the platform pick them up automatically. We're explicitly not building a custom integration framework. We're adopting the standard, on the bet that the integration work that would have taken months becomes a 30-minute config exercise.
The three MCP patterns we're leaning on
1. The "thin server" pattern
An MCP server that does one thing — wraps a single API or data source — and does it well. The way we're structuring our stack: small, single-purpose servers like baxter-crm-mcp, aeiva-wearable-mcp, internal-billing-mcp. Each under 500 lines, tested, versioned independently.
This is our default for new integrations. We're actively resisting the urge to build a "super-server" that does ten things — that becomes a deployment headache and the model gets confused by tool sprawl.
2. The "skill-bound" pattern
An MCP server that ships its own skill — i.e., a structured way the agent should use its tools. The content-automation server we're building, for example, will expose a publish_blog_post tool plus a skill that tells the agent when and how to use it (validate against brand voice, attach a cover image, set tags from a fixed taxonomy).
This pattern is powerful because it co-locates capability and best practice. The team that knows how to publish well also publishes the runbook for how to use it well.
3. The "permissioned" pattern
For any agent that goes near production, every MCP tool call should go through a permissions layer. Some tools require user confirmation; some are read-only; some are scoped to a specific tenant. We're treating MCP servers as untrusted by default — they declare what they can do, but the host agent decides what it's allowed to do.
If you're building agents for enterprise, this pattern is non-negotiable. "Trust the tool" doesn't survive contact with a security review.
What to do tomorrow if you're building with AI
- Inventory your integrations. If you have more than two custom-glue integrations, you have a maintenance problem coming.
- Pick one and rebuild it as an MCP server. The starter kits from Anthropic and the community are good. A weekend gets you a working server.
- Stop adding tools directly to your model client. From now on, every new capability lives behind MCP. Future-you will thank present-you.
Where this is going
USB-C didn't win because it was technically perfect — it won because the standard reached escape velocity. MCP is in that phase right now. The longer you wait, the more proprietary glue you accumulate, and the bigger your eventual migration. Adopt early.
If you're a builder evaluating MCP for your own stack, the practical advice we'd give: pick one painful integration, rebuild it as a thin MCP server this week, and run it next to your existing glue. The contrast will sell the rest of the migration to you. We'll keep writing about specific patterns we land on as we keep building — subscribe if that's useful.
— Eshwar PK, Founder, Baxter Labs