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Brainis MCP

The right context. Only the right tools.

It sits between my AI and your company. Each agent gets only the knowledge and tools its job needs, and what it does lands in real products, on the record.

Leaders, Builders, and Security

An agent that can touch anything is dangerous. An agent that can touch nothing is useless. MCP is the middle: only the context a job needs goes in, and only checked actions come out. That’s how “AI does real work” gets safe enough to actually allow.

Proof it's real

Real work, in real products.

Scene

An agent calls crm.create_draft, and the draft shows up in the real CRM with a tag: who made it, with what access, for which mission, and a fingerprint that shows if it’s ever changed.

Other AI tools hand you answers and hope you have somewhere to put them. I give my agents real products to work in, and check each step they take.

UnderstandDecideDeliverVerifyLearn

MCP limits what my agents can see and do in each product they touch.

The hard question

Is this the open MCP standard?

Yes, it’s built on it. Brainis MCP uses the open Model Context Protocol and adds a safety layer on top: access for one mission at a time, a named right for each action, proof where it’s needed, and a record of each step. Standard where that helps you, stricter where it protects you.
For developers See how work gets checked