Agentic AI Interoperability: How to Keep Your Creative Stack Portable

Most teams choose an AI agent without asking whether they could ever leave it. Two open protocols, MCP and A2A, now decide how portable your agents, tools and history really are. Here is what each does, where lock-in still hides, and the questions that expose it before you sign.

• What MCP and A2A do, in plain words
• Where lock-in hides even when a vendor says it supports standards
• Five questions to ask in writing before you commit

The Question Buyers Skip: Can We Leave?

Agent demos show what an agent can do. They rarely show what it costs to stop using it. A year ago, as sista.ai notes, agent interoperability was a slide in a vendor deck. In 2026 it is a working standard that companies run in production. Before open protocols existed, replacing one vendor's agent meant rebuilding every custom integration that tied it to other systems and agents.

That makes the choice of an agent a choice about exit cost. For creative teams, where agents will read briefs, write to asset libraries and hand work to one another, the exit cost is worth knowing on day one.

Two Protocols, Two Directions

Two terms, defined once. The Model Context Protocol (MCP) is a standard way for an agent to connect to your tools and data: files, a CRM, a database, an asset library. In sista.ai's phrasing, it is how an agent reaches down into your systems. The Agent2Agent protocol (A2A) is a standard way for one agent to talk to another: how an agent reaches sideways. Galileo's guide notes that A2A was released in April 2025 under an open license and is now governed by the Linux Foundation, and The Agile Brand Guide stresses that the two complement each other rather than compete.

Picture a campaign build. A brief-interpretation agent asks a copy agent for variants, which asks a compliance agent for a check. The Agile Brand Guide gives a similar marketing example, with one agent requesting audience selection, offer logic, creative variants and compliance review from others. With A2A, those handoffs follow a shared format even if three vendors built the three agents. With MCP, each agent reaches your asset library and approval record the same way. Our overview of multi-agent AI and why creativity should care explains the pattern, and our piece on how multi-agent systems handle conflicts covers what happens when they disagree.

Two Kinds of Lock-In

MLVeda separates the dependencies. Vertical lock-in is reliance on a single middleware vendor for tool access, and it deepens with every proprietary connector. Horizontal lock-in is reliance on a single AI platform for agent coordination. Open protocols address both in principle: with MCP and A2A, a company can switch agents or vendors, or add a best-of-breed tool, without rebuilding its integration layer. The words that matter in that sentence are "in principle."

What Open Protocols Do Not Give You

Your data. sista.ai is blunt on this point: open communication protocols do not automatically mean you can export your data, agent configurations or workflow history. That belongs in the contract, not in an assumption.

Proof of support. "We have integrations" is not protocol support. Ask for it in writing, versions included, and check who governs the standard.

Your team's memory. Creative-specific lock-in lives in brand rules, approval history, prompt libraries and generation records. If those sit inside an agent platform, switching vendors means losing the memory of the work. The remedy is to keep the system of record outside any agent: briefs, approvals, assets, brand rules and generation records in a neutral store, with agents reading and writing through standard interfaces. Our checklists on preparing your data for agentic AI and on the process-mirror effect show what that store needs to hold, and a prompt library your team owns is the simplest portable asset to start with.

Safety by default. Easier connections raise the stakes of permission design. Decide what each agent may read, write and publish, whatever the protocol.

Five Questions to Ask in Writing

Put these to every vendor and keep the answers with the contract:

1. Which protocols do you support for tool and data access and for agent-to-agent handoffs, and in which versions?
2. Where do agent configurations, prompts and brand rules live, and in what format can we export them?
3. Can we export workflow history, approvals and audit logs in an open format, and at what cost?
4. What does leaving cost in fees, time and migration support?
5. Which parts of the product only work inside your platform?

The Pedowitz Group's playbook on open standards frames the same shift: a stack that replaces one-off integrations with shared contracts between tools, data and agents, so individual vendors can change while the contracts stay stable. Questions two to five are what turn that idea into something you can enforce. Standardizing your creative workflows first, as our piece on surviving the agentic AI failure rate argues, also makes the answers easier to judge.

Start Small: One System of Record, One Standard Interface

Skip the grand architecture. Expose one system of record, such as the asset library or the brief store, through a standard interface. Connect one agent to it. Then run the test that matters: swap that agent for another in a sandbox and see what breaks. With both protocols genuinely in place, sista.ai says, changing vendors gets closer to swapping a SaaS tool that speaks a standard API: still work, but not a rebuild from zero.

A production environment that keeps briefs, approvals and assets in one governed place gives every agent, whoever built it, a single source to read from and write to. That is the infrastructure role MTM plays for creative teams adding AI to their workflow (Accelerate with AI), with the agents changing while the record stays put.

The Decision to Make This Quarter

Before the next agent purchase, add one line to the evaluation: the cost of leaving. Ask the five questions, put the answers in the contract, and keep your briefs, approvals and brand rules where no single vendor controls them. Agents will keep changing. The record of how your team works should not have to.

FAQ

Do MCP and A2A replace APIs? No. A2A complements MCP, and direct APIs remain the way to connect well-bounded applications, as The Agile Brand Guide explains. The protocols standardize the conversation between agents and tools. They do not remove the need for sound integrations.

Is a platform that supports MCP automatically safe to connect? No. Support for a protocol says nothing about what an agent is allowed to read or change. Scope permissions per agent and per system, and log what each one does.

Can we switch agent vendors without rebuilding everything? It gets closer to swapping a tool than rebuilding, if both protocols are genuinely implemented on both sides, according to sista.ai. Your exports of configurations, prompts and history decide how smooth the swap is.

Do small teams need to care? If you plan to run more than one agent or expect to change vendors, yes. Each custom connector you add now is a cost to unwind later, and the cheapest moment to ask about exit is before the first one.

What belongs in the contract? Export rights for data, agent configurations and workflow history in open formats; named protocol support with versions; migration support and its price; and notice before protocol-related changes.

Sources

• https://sista.ai/it/insights/agent2agent-a2a-protocol-explained
• https://galileo.ai/blog/google-agent2agent-a2a-protocol-guide
• https://agilebrandguide.com/wiki/agentic-ai/agent2agent-a2a-protocol/
• https://www.mlveda.com/blog/the-mcp-standard-and-the-death-of-integration-lock-in-what-pe-operating-partners-need-to-know-about-agent-interoperability
• https://www.pedowitzgroup.com/how-will-open-standards-mcp-etc.-affect-interoperability