Agent Apps & MCP Channels: Ship Where Buyers Already Work
ChatGPT and Claude are already open on your buyers' desktops. MCP puts allowlisted company tools in other agents' toolbelts. Here is how I think about both as a product channel.
Your buyers already live in ChatGPT and Claude. Your operators already live in Cursor and agent workspaces. The question is no longer whether AI will touch the company. It is whether those agents can reach real systems without open credentials and without unsupervised irreversible actions.
That is the offer I call Agent Apps and MCP Channels.
Two surfaces, one spine
Agent apps are the ChatGPT and Claude experiences people open on purpose: a savings checkup, a privacy assistant, a guided pre-filing flow. They meet the user where attention already is.
MCP channels are Model Context Protocol servers that put allowlisted tools in other agents' toolbelts. Claude Desktop, Cursor, and internal agents call those tools the same way they call a calculator: with a name, arguments, and a clear side-effect contract.
Both follow the same engagement spine I use everywhere else: Assess, Pilot, Ship, Enable. The work type changes. The operating rules do not.
Proof, not slideware
I ship channels, not decks. Recent GPT and Claude surfaces include a household bill savings checkup in ChatGPT, data-control and Protect assistant workflows, and guided pre-filing with structured intake and a hard stop before submit.
Those apps prove distribution. The next step for most companies is the durable layer: an MCP channel for one named job inside their stack.
What a good MCP Pilot looks like
- One workflow and one success measure
- Three to eight tools, read-first by default
- Every side effect labeled (none vs writes a handoff or gate packet)
- Pass-through or client-hosted auth; no parking client secrets with a vendor
- A human gate for anything irreversible
- Logging and an allowlist your team can operate after launch
If someone asks for "just send the campaign" or "just merge the PR" as an autonomous tool, the answer is no. Those keys stay with people.
Public discovery vs private delivery
There is a useful split. A public readiness MCP can help other agents scan a site, assess a repo, list services, and explain the offer. It never books, sends, or commits on a visitor's behalf.
A client MCP is different. It sits next to the company's systems with a tight allowlist: read context, fetch a KPI slice, write a handoff, request a human gate. That is the product you install when the Pilot job is real.
How to start
Name the job. Name the systems. Name who must approve the irreversible step. Then design the smallest tool catalog that can prove the job end to end.
If you want the packaged offer, see Agent Apps & MCP Channels. If you want a short conversation about your first channel, get in touch.
Common questions
What is an MCP channel?
A Model Context Protocol server that exposes allowlisted company tools to agents in Claude, Cursor, and similar clients. Read-first tools, clear side effects, and human gates for irreversible actions.
How is that different from a Custom GPT or Claude app?
GPT and Claude apps are the consumer-facing surface people open today. MCP is the durable tool channel other agents call. Many engagements use both: an app for the job, MCP for systems access.
What should a first Pilot include?
One named workflow, a success measure, three to eight read-first tools, pass-through or client-hosted auth, logging, and a working human-gate path before any write ships.
What must stay human?
Approve and send, publish, write to a system of record, merge, deploy, and money moves. Agents do the work up to that line; people cross it.