MCP/One · § 01 the control plane
One control path for every
AI capability your organisation
approves — across every tool
it uses.
MCP One sits in the control path for approved AI capabilities across every AI tool your organisation uses — not just one vendor’s platform.
Governed across every AI tool, not just the ones from one vendor.
AI governance, by definition, should hold regardless of which AI tool your team is using. AI adoption does not stay inside one ecosystem. Your teams are using Salesforce AI, Atlassian Intelligence, Microsoft Copilot, internal agents, and tools added next quarter. Each has its own controls. None of them add up to a single view of what your organisation's AI capabilities can access and do.
MCP One sits in the control path across all of them. It brokers capability access, checks approval state, and creates an evidence trail. The record exists because the request passed through MCP One, not because it was observed from the outside.
Other tools tell you what your AI did. MCP One approved what it was allowed to do before it ran, and kept the record.
AI observability tells you what happened. MCP One governs what is allowed to happen. That is a structurally different thing. Every AI capability in MCP One carries an approval decision, an owner, a record of connected systems, and a control maturity rating. Capabilities cannot be broadly deployed without passing through that workflow.
When a brokered capability runs, the evidence exists because MCP One was in the path, not because logs were shipped somewhere after the fact.
Your CIO and legal team want an account of AI capability across the whole business. Today, that answer does not exist.
AI security stops unauthorised access. AI governance frameworks set policy. But neither gives the IT or AI Platform leader a single, enforceable answer to the question their CIO and legal team are now asking: what AI capabilities does our organisation run, who approved them, what can they access, and where is the record?
That is the question MCP One exists to answer. It is built for the IT, AI Platform, or internal-tools leader responsible for that account, not only for engineering.
Join a small group of IT and AI Platform leaders building governed AI capability across their organisation.