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Frequently Asked Questions

Everything you need to know
about Jarvis Registry

Answers to the most common questions about Jarvis Registry - enterprise MCP and agent gateway, copilot integration, governed access, security, and observability. Can't find what you're looking for? Schedule a call.

Overview

About Jarvis Registry

Jarvis Registry is an enterprise MCP and Agent Gateway that connects any AI copilot to your enterprise tools through a single, governed entry point. It handles centralized discovery, routing, authentication, and governance for all MCP servers and AI agents - giving your organization full control over what AI can access and how.

No. Jarvis Registry is a fully independent product. It integrates with any MCP-compatible AI client out of the box and does not require Jarvis Chat to operate. That said, when paired with Jarvis Chat, the two form a complete enterprise AI platform with end-to-end governance.

No. Jarvis Registry is licensed, customer-hosted software. It deploys directly into your environment so your data, tool access, and agent interactions never leave your infrastructure. There is no shared infrastructure and no external data transmission.

Deployment

Getting and running Jarvis Registry

Jarvis Registry 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.

Copilot Integration

Copilot integration

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.

Jarvis Registry acts as a universal gateway 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. Jarvis Registry includes intelligent auto-discovery 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.

Security & access control

Security and access control

Jarvis Registry enforces fine-grained access controls 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. Jarvis Registry has 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.

Jarvis Registry encrypts data in transit using 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.

Observability & compliance

Observability and compliance

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.

Still have questions?

Our team is happy to walk you through architecture, security, and pricing specific to your environment.