Managed MCP Gateway for Mid-Size Companies

The Model Context Protocol became the de-facto standard for connecting AI assistants to tools and data, with thousands of servers published. Enterprises build their own gateways; individuals use local servers. Mid-size companies are stuck: they want Claude/ChatGPT to reach their CRM, wiki and database, but security won't allow ungoverned local servers on every laptop.

The product: a hosted gateway that runs vetted MCP servers behind SSO, scopes per-role permissions ('support can read tickets, not export them'), logs every tool call for audit, and gives IT one dashboard. 'Okta for AI tool access' is the positioning; boring, necessary, and sticky.

Companies want AI assistants connected to internal systems, but every integration today is either a shadow-IT local server or a six-month platform project. Nobody offers governed, deploy-in-a-day middle ground.

IT leads and platform engineers at 50–2,000-person companies; MSPs managing IT for fleets of smaller firms (white-label channel).

MCP adoption crossed from hobbyist to corporate in 2025 (major assistants, IDEs and enterprise suites all speak it). Security teams are writing AI-tool-access policies right now with no product to point at — policy exists before product, the ideal SaaS entry.

Open-source MCP proxies (self-managed pain), platform-native connectors (per-vendor silos), and early startups without enterprise features. The compliance/audit angle differentiates against all of them; incumbency risk from identity providers (Okta et al.) is real but they move slowly into new protocols.