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Why Use Jarvis Registry?

Jarvis Registry is the enterprise control plane for AI — connecting copilots, autonomous agents, and enterprise tools through a single, secure, and observable gateway.

1. Native AI Copilot & Agent Integration

One place to connect every AI client and every tool.

  • Universal MCP Support: Any MCP-compatible copilot (Cursor, Claude Desktop, GitHub Copilot, VS Code) connects out of the box
  • A2A Agent Registry: Register and manage autonomous agents alongside human users using the same gateway
  • Single Endpoint: No per-tool configuration — one URL gives AI clients access to your entire enterprise tool catalog
  • Multi-Protocol: Supports SSE and Streamable HTTP transport, compatible with the latest MCP specification

2. Enterprise-Grade Security

Identity-first security at every layer, with no custom auth code required.

  • Multi-Provider IdP Integration: Native support for Keycloak, Amazon Cognito, and Microsoft Entra ID via OAuth 2.0/OIDC
  • Role-Based Access Control (RBAC): Assign permissions by role, group, or service principal
  • Fine-Grained ACL: Enforce access policies down to the individual tool level — not just the server
  • JWT Token Management: Centralized token validation, refresh, and vending for both human users and AI agents
  • Zero-Trust Posture: Every request is authenticated and authorized before reaching a backend tool

3. Skill & Context-Based Service Discovery

Agents find the right tool without hardcoded routing.

  • Semantic Search: Vector-powered search matches natural language queries to MCP servers and A2A agents by skill and description
  • Tag & Skill Filtering: Multi-dimensional filtering lets agents narrow results by capability, domain, or context
  • Runtime Discovery: No static tool lists — agents discover what they need dynamically at runtime
  • Hybrid Search: Combines semantic similarity and exact tag matching for precision and recall

4. Agent Orchestration & Workflow Management

Visibility and control over complex, multi-agent operations.

  • Orchestrator–Worker Model: Orchestrator agents delegate tasks to worker agents through the same secure gateway
  • Centralized Workflow Visibility: Track which agents are running, what tools they invoked, and what outcomes they produced
  • Complexity Abstraction: Encapsulate multi-step agent workflows behind a single registry entry, reducing client-side complexity
  • Consistent Policy Enforcement: ACL and RBAC apply uniformly across orchestrated workflows — no policy gaps between agents

5. Observability with OpenTelemetry

Full visibility into every request, tool call, and agent interaction.

  • OpenTelemetry Integration: Distributed tracing across the full request path — from copilot to tool response
  • Prometheus Metrics: Request rates, latency, error rates, and token usage exposed as standard metrics
  • Third-Party Compatible: Works with Grafana, Jaeger, Datadog, AWS X-Ray, Azure Monitor, and any OTEL-compatible backend
  • Audit Logging: Immutable record of every tool invocation with user identity, timestamp, and outcome

Deployment Options

Jarvis Registry is cloud-native and runs anywhere.

  • AWS: Deploy on EKS, ECS, or EC2 with Cognito as the identity provider; integrates with AWS Lambda and API Gateway for serverless MCP backends
  • Azure: Deploy on AKS with Microsoft Entra ID for enterprise SSO; supports Azure Container Apps and Azure Monitor for observability
  • GCP: Deploy on GKE with Workload Identity; integrates with Cloud Run and Google Cloud Monitoring
  • Docker Compose: Full local stack running in under 5 minutes — ideal for development and evaluation
  • On-Premises: Kubernetes manifests and Helm support for air-gapped or private cloud environments

Use Cases

Use Case How Jarvis Registry Helps
Enterprise AI Copilot Rollout Give every developer a single, governed MCP endpoint for internal tools — no individual server setup
Autonomous Agent Fleets Orchestrate dozens of A2A agents with consistent security, routing, and observability
Multi-Cloud Tool Federation Aggregate MCP servers across AWS, Azure, and GCP behind one gateway with unified access control
Regulated Industry Compliance Enforce audit trails, RBAC, and zero-trust access for AI workloads in finance, healthcare, and government
Developer Productivity Semantic discovery means developers and agents find the right tool without reading docs or maintaining tool lists

Competitive Advantages

  • Protocol-Native: Built for MCP and A2A from the ground up — not retrofitted onto an existing API gateway
  • Zero Vendor Lock-in: Open-source, open architecture — bring your own IdP, vector store, and observability backend
  • Security Without Friction: Enterprise-grade ACL and RBAC that works with your existing identity provider in hours, not weeks
  • Scales with Your Agents: From a single team to hundreds of autonomous agents, the same control plane handles it all
  • Open Source: Community-driven with commercial support available from ASCENDING Inc