Overview
Features
ChatGPT-like chat with MCPs
Conversational interface to interact with MCPs using a private prompt registry for secure, shareable prompts.
Private MCP registry with governance
Self-hosted and remote MCP registry to share MCPs across teams with governance controls, including self-built and third-party MCPs.
Kubernetes-native MCP orchestrator
Run MCP servers in Kubernetes and manage their state, API keys, and OAuth access.
Security sub-agents
Isolate dangerous tool responses from the main agent to prevent prompt injections.
Dynamic tool call blocking
Block potentially dangerous tool calls to prevent data exfiltration from MCP interactions.
Cost monitoring, limits and dynamic optimization
Per-team/ per-org cost monitoring with dynamic optimization to reduce costs by switching to cheaper models automatically.
Observability
Metrics, traces and logs to analyze per-org, per-agent and per-team usage and performance.
Production-ready tooling
Terraform provider and Helm chart support for production deployment and quickstart guidance.
Who Is This For?
- Platform teams:Centralize MCP servers, manage access, credentials, costs, and observability across the organization.
- Developers:Deploy MCP servers across the organization and build agents with security considerations handled by the platform.
- Management:Enable enterprise-wide MCP adoption with cost savings and full visibility into usage and data access.




