Not everything in AdTech doesn’t run in real time — not really.
It runs in asynchronous, interdependent loops. Data flows, models train, approvals happen, optimizations roll out. Each step depends on something else finishing later.
That’s why the introduction of long-running task support in MCP (SEP-1391) is such a big deal for our industry. It finally gives technical teams a standard way to manage the messy, asynchronous nature of advertising workflows.
1. Async Is Everywhere in AdTech
Let’s look at what “long-running” really means in our world:
| Category | Typical Duration | What Makes It Long-Running |
|---|---|---|
| Data Onboarding | Hours to Days | PII tokenization, consent checks, match rate analysis |
| Audience Modeling | Minutes to Hours | Clustering, lookalike expansion, or data clean room jobs |
| Attribution / Lift Studies | Days to Weeks | Collecting conversion signals and control data |
| Creative Rendering & QA | Minutes to Hours | Transcoding, accessibility checks, brand review |
| Campaign Pacing & Optimization | Continuous | Algorithmic tuning, budget reallocation |
| Compliance Reporting | Minutes to Hours | Evidence bundle generation, spend audits |
In every case, you start a process, wait for results, maybe intervene mid-flight, and eventually collect the outcome.
Before SEP-1391, teams hacked around this — holding sockets open, relying on cron jobs, or building proprietary job queues. Now, MCP natively understands that work takes time.
2. Async Protocol = Cleaner Hand-Offs Between Systems
AdTech stacks are federated jungles — dozens of systems passing tokens, IDs, and reports.
SEP-1391 lets each component expose its “job lifecycle” in a consistent way:
- A DSP’s optimization engine can expose
submitted / working / completedstatus. - A data clean room can report
input_requiredwhen legal approval or key mapping is pending. - An analytics system can expose
keepAliveretention for audit or SLA compliance.
Each module speaks the same language of asynchronous state.
No more mystery ETLs, silent failures, or guessing if a job finished overnight.
3. Governance and Auditability
In advertising, every async workflow is also a compliance workflow.
When a report or audience build finishes, someone must be able to ask:
“What inputs were used? What policies applied? When was it approved?”
Because SEP-1391 formalizes status reporting and result retention (keepAlive), it gives engineers a framework for proving that an automated task behaved correctly — a key step toward future-ready compliance under the EU AI Act, FTC guidance, and IAB Tech Lab’s emerging “AI governance” standards.
This isn’t just technical hygiene — it’s how AdTech survives regulation while scaling automation.
4. The Human-in-the-Loop Moment
That input_required state is the most underrated part of SEP-1391.
It’s where automation meets accountability.
In AdTech terms:
- A trader can approve or reject a pacing reallocation.
- A brand safety team can review a flagged creative.
- A measurement analyst can validate interim lift results.
Before this, human approvals broke the automation chain.
Now, the job simply pauses, requests input, and continues — all traceable through the same MCP token.
5. A More Interoperable Future
With SEP-1391, MCP stops being “yet another agent spec” and becomes an interoperability fabric for asynchronous AdTech workflows.
Imagine:
- A DSP optimization agent that triggers a clean room model and waits for completion.
- A creative generation tool that pauses for brand review.
- A compliance auditor that gathers results from multiple vendors, each exposing
tools/async/status.
They don’t have to be built by the same company — just speak MCP with SEP-1391.
That’s how open, composable AdTech actually becomes possible.
In Summary
AdTech isn’t synchronous — it’s a web of slow, dependent, approval-gated tasks.
SEP-1391 brings the protocol-level patience we’ve been missing.
It gives every player in the ecosystem — DSPs, SSPs, clean rooms, agencies, measurement vendors — a shared way to start, monitor, and prove asynchronous jobs.
If you’re building anything in advertising AI, data infrastructure, or marketing automation, now is the time to read SEP-1391.
It’s not just an engineering feature — it’s a new language for how AdTech systems coordinate, comply, and evolve.
HyperMindZ Team