Why MCP One exists

Enterprises are adopting AI at speed: Salesforce AI, Atlassian Intelligence, Microsoft Copilot, GitHub Copilot, and internal agents, often across multiple departments simultaneously. The tools for AI observability, AI security, and AI governance are maturing. But none of them answer the question that IT leaders, CIOs, and legal teams are now asking: what AI capabilities does our organisation run, who approved them, what can they access, and where is the record? That answer requires a single governed layer across all the tools, not one that lives inside any single vendor's platform.

MCP One is built to be that layer. It is a vendor-neutral control layer that sits in the execution path for enterprise AI capabilities. Capabilities are registered, approved before deployment, brokered at runtime, and made discoverable to employees, with an approval and audit record that is independent of any AI vendor. The result is a governed capability layer across Salesforce, Atlassian, Microsoft Copilot, and any other tool your organisation runs, with a single account that holds up to scrutiny from a CIO, a legal team, or a board.

MCP One is a brand of eBulldog Ltd, a UK software company. A person stays in the loop for every decision that touches a customer or an external commitment.

About the founder

Adam founded MCP One after more than 30 years in the technology industry, with deep technical knowledge, commercial judgment, and senior leadership experience. He has become deeply engaged with AI not only as a powerful business tool, but as a genuinely fascinating new computing paradigm — one he sees as the most significant shift in technology since the internet itself. MCP One was born from his concern that this extraordinary potential is advancing faster than the governance needed to control it. As powerful LLM-based tools increasingly connect directly into enterprise systems, from Salesforce and Jira to internal platforms and data stores, Adam saw a material risk emerging: end users could adopt and connect AI capabilities without meaningful oversight. Organisations remained accountable for GDPR, data protection, user trust, and operational outcomes. MCP One is his response to that gap: a vendor-neutral control layer for enterprise AI, designed to sit in the path of capability execution, broker what AI systems are allowed to do before they act, and create an audit trail as a structural byproduct.