Everything you need to know
about Jarvis Registry

It is available on both the AWS Marketplace and the Azure Marketplace, making procurement straightforward for organizations with existing cloud spend commitments.

Virtually anywhere you run Kubernetes clusters. We natively support AWS (EKS), Microsoft Azure (AKS), and Google Cloud (GKE). Hybrid and on-premises Kubernetes environments are also supported.

Jarvis Registry works with any MCP-compatible AI client. This includes Claude Desktop, VS Code, Cursor, GitHub Copilot, Microsoft Copilot, and Jarvis Chat. One registry, every client - no duplicate configuration required per tool or per team.

The gateway sits between your AI copilots between your AI copilots and your enterprise tools - including Jira, Confluence, Slack, Google Drive, Gmail, PostgreSQL, Snowflake, GitHub, Docker, and AWS. Instead of each copilot connecting directly to each tool, all traffic flows through a single governed layer with consistent access controls and audit trails.

No. Auto-discovery dynamically that dynamically identifies available tools, resources, and skills based on context and permissions. Copilots find the right tools automatically - no manual configuration needed per client.

Fine-grained access controls are enforced at the tool level. It integrates with your enterprise identity provider through OAuth and SAML, supports RBAC (Role-Based Access Control), and allows you to define ACL (Access Control List) policies per user, team, or agent. Every interaction is governed - not just at login, but at every tool call.

RBAC controls access based on a user's role within the organization - for example, a developer role may have access to GitHub and Docker tools while a finance role does not. ACL provides a more granular layer on top of that, allowing you to define specific allow or deny rules for individual users, groups, or agents down to the tool level. Together they give you both scalable and precise control over AI access.

Yes. There is native OAuth integration for both inbound authentication from AI clients and outbound access to enterprise tools and services. This means every connection - whether from a copilot into the registry or from the registry out to a tool - is properly authenticated and authorized through your existing identity infrastructure.

Data in transit is encrypted with TLS for all communication between AI clients, the gateway, and connected tools. Sensitive credentials, tokens, and secrets used for tool connections are encrypted at rest. Decryption occurs only within your own environment - no keys or secrets are ever exposed to or stored in any external system.

Jarvis Registry provides real-time monitoring, analytics, and complete audit trails for every AI interaction. You can see what tools are being called, by whom, at what time, and with what context. Anomaly detection and alerting are also built in so your team can catch unexpected behavior early.

Yes. Every agent action, tool call, and routing decision is logged. Audit logs are stored within your environment and can be integrated with your existing logging and SIEM tooling. This supports compliance requirements across regulated industries including finance, healthcare, and government.