Governed AI infrastructure for the modern enterprise — the design, hosting, security, monitoring, and lifecycle management of MCP servers that connect AI models to your business systems, without the credential sprawl, over-permissioning, and shadow AI that ungoverned adoption creates.
Employees are adopting AI assistants and agents faster than most organizations can govern them. The Model Context Protocol (MCP) is the open standard that connects AI models to business systems — CRMs, file stores, databases, ERPs, ticketing, and line-of-business applications. Every one of those connections is productivity for the business and a new privileged pathway into its data.
MCP-as-a-Service (MCPaaS) is Neutron's managed offering: a sanctioned, monitored pathway that is easier to use than the unsanctioned one — delivered under the same firm-fixed pricing model and the same single-provider consolidation as every other Neutron service.
AI adoption inside organizations rarely begins with a policy — it begins with an employee connecting a capable assistant to a system that holds real data.
Architected, hosted, secured, monitored, and maintained by Neutron.
Governance that accelerates adoption rather than blocking it.
Inventory of AI tooling already in use, systems it touches, and data classes involved — including shadow AI discovery. Prioritization of sanctioned use cases with your leadership.
Selection of hosting model, definition of authorization scopes per role and per system, data-class policy, logging and retention standards, mapped to compliance obligations.
Gateway and connector deployment, identity integration, credential vaulting, SIEM onboarding, and custom connector development for proprietary applications.
Users are moved onto the sanctioned pathway and the ungoverned direct connections are revoked — credentials rotated, orphaned integrations removed.
An API gateway proxies traffic; MCPaaS governs AI-to-system authorization. It defines which AI tools can reach which business systems on whose authority, with what data-class scope, logged into your security operations. The gateway is one component — identity binding, credential vaulting, and SOC integration are the rest.
No. MCPaaS is deliberately platform-agnostic — it works with any MCP-capable client, from enterprise AI assistants to developer tooling to agent frameworks. Different departments or portfolio companies can use different AI platforms while reporting into one governance model.
No. Firm-fixed pricing throughout: a fixed platform fee plus a fixed per-seat rate for entitled users. No metering by tool call, token, or data volume. Custom connector development is quoted as firm-fixed-price statements of work.
Our AI Readiness service handles adoption strategy and secure deployment of AI tools broadly (Copilot, custom assistants, workflow automation). MCPaaS is specifically the managed infrastructure layer beneath those adoptions — the sanctioned pathway that makes governed AI possible at scale. Many clients engage both.
Yes. Three hosting models: Neutron's secure infrastructure, your own cloud tenant, or on-premises deployment — selected per company based on data residency, latency, and regulatory constraints.
Schedule a consultation and we'll walk through the governance gap, the MCP architecture, and how a first deployment looks for your environment.