SecureContext gives platform and security teams a secure MCP control plane for AI coding assistants. Deploy it in your own environment, connect internal docs, tickets, chat, and code, and enforce RBAC, audit logs, and user-level access without exposing enterprise context to a vendor control plane.

ProAI — All-in-one AI Advisor, Forecaster, Creative, & Fundraiser

All-in-one AI Advisor, Forecaster, Creative, & Fundraiser

We built SecureContext because most teams experimenting with MCP quickly hit the same problem: it is easy to connect models to internal tools, but much harder to do it safely in a real enterprise environment. Security, access control, auditability, and deployment ownership usually become afterthoughts. SecureContext is our answer to that. It is a self-hosted MCP gateway that lets teams run MCP inside their own environment, connect AI systems to internal tools and knowledge, and keep clear control over who can access what. We are launching this for teams that want to move beyond demos and run MCP in production with stronger operational boundaries. If that sounds like your use case, we would love feedback on the product, the setup flow, and what is still missing.