Jarvis Registry: Bringing Enterprise Context & Governance to Your AI Copilots
Most organizations use AI copilots like Microsoft Copilot, ChatGPT, Claude Desktop, GitHub Copilot, and Cursor for everyday work. However, these tools often struggle to access internal context such as document storage, databases, and business software like project management, accounting, and ERP platforms. Teams need AI that works with their enterprise systems and enables agents that go beyond conversation to actively monitor, forecast, and trigger actions in real time.
Jarvis Registry solves this challenge by connecting preferred AI tools to enterprise context including MCP servers, knowledge bases, and agent workflows in a unified layer. For employees, it automatically discovers relevant MCP servers and agents, assembling the right services and context to solve problems efficiently. For admins, it provides centralized control over which connectors users can access, authentication strategies, agent permissions, audit logs, and usage visibility.
The result is centralized governance across the entire MCP and agent ecosystem. Every integration is registered, permissioned, and manageable, eliminating uncontrolled shadow integrations. Jarvis Registry brings unified enterprise context to team chat interfaces while maintaining governance, visibility, and control that organizations require for secure AI adoption.
Companies widely use AI copilots for business and coding, but these tools struggle to access internal context like databases, document storage, and business software. Teams need AI that works with enterprise systems and enables agents that actively perform work, not just chat.
Different teams have different tools and permissions. When groups wire up their own connectors independently, it becomes hard to control, hard to audit, and creates risky shadow integrations across the organization.
Jarvis Registry acts as an add-on that connects AI tools to enterprise context, including MCP servers, knowledge bases, and agent workflows. It automatically discovers relevant services and assembles the right context to solve problems efficiently and accurately.
Admins gain centralized control over connector access, authentication strategies, agent permissions, and audit logs. Everything is registered, permissioned, and manageable, eliminating uncontrolled shadow integrations while maintaining visibility into usage.
Jarvis Registry brings enterprise context to team chat interfaces by connecting MCP services and agents behind the scenes. Organizations get the governance, visibility, and control needed to enable secure AI adoption at scale.
