A2A is the Agent2Agent protocol: a standard way for one agent to discover and call another. We use it so a CrewAI invoice crew, a Google ADK helpdesk agent, and Salesforce Agentforce are not three silos. Mindcat implements the interop, the identity boundary, and the audit trail.
These are the use cases we usually pair with A2A Protocol. Each one is a real page, not a slogan.
A Vertex agent that can ask a Salesforce agent for account context.
Voice, chat, and CRM agents handing off without a custom API each time.
Planning agents that call finance or inventory specialists.
A record of which agent called which agent, and why.
CrewAI ↔ ADK
RPA-style crews calling Google Cloud agents, and the reverse.
Agentforce ↔ anything
Salesforce agents that can request work from non-Salesforce runtimes.
OpenAI Agents ↔ ADK
Product agents on OpenAI calling Vertex specialists when the data lives there.
Tell us what you are working with. We respond within 24 hours with a frank assessment of what it would cost, how long it takes, and whether it fits your situation.
Get in TouchTell us what you are working with. We respond within 24 hours with a frank assessment of what it would cost, how long it takes, and whether it fits your situation.
Get in TouchAgent2Agent is a protocol for one agent to discover and invoke another. It is the interop layer. MCP is how an agent calls tools and data. You usually want both.
Not on day one. It becomes useful the moment a second runtime appears — Agentforce plus CrewAI is the usual trigger.
Capability cards, identity (often IndyKite or your IdP), and an allow-list. Discovery is not the same as permission.
We will map the agents you have, what they should be allowed to call, and whether A2A is the right glue.
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