“Generate, don’t hand-wire.” Sandbox MCP turns OpenAPI specs into sandboxed MCP servers with capability-driven permissions, virtualized filesystems, and fine-grained I/O controls. You reduce security toil (prompt injection, data exfiltration, lateral movement), avoid spec drift, and gain predictable, repeatable builds you can run anywhere Kubernetes runs. Building an MCP server by hand means dealing with evolving specs, security, and scaling concerns.
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Sandbox MCP address security by:

• Isolating code in capability-driven Wasm sandboxes with capability driven support, virtual FS, fine-grained I/O permissions.
• Reducing prompt injection & data exfiltration risk by strictly controlling what each component can access.
• Scaling safely; you can run thousands of components on the same host without cross-talk or lateral movement.

Start with an OpenAPI specification, generate a componentized MCP server, then iterate on business logic in your IDE. Deploy on CNCF wasmCloud or, for a simpler enterprise path, run on Cosmonic Control. The result is a secure, contract-driven MCP service that’s observable, portable, and easy to operate.

Sandbox MCP itself is free and open source—it is a plugin built on CNCF wasmCloud and open standards. It builds standards compliant WebAssembly Components that are compatible with CNCF wasmCloud and other runtimes.
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For production use, Cosmonic offers enterprise-grade hosting, support, and Kubernetes integration so you can move from local dev to fleet-scale deployment with confidence.

Agentic AI workflows face unique risks because LLM inputs and outputs are non-deterministic. This expands the risk surface—prompt injection can redirect intent, tools can be misused, data can be exfiltrated, and lateral movement becomes easier. Sandboxing and least-privilege capabilities are essential because you cannot reliably predict every model behavior ahead of time.

Sandbox MCP isolates each MCP server as a WebAssembly component with deny-by-default, capability-driven permissions. By virtualizing resources (e.g., filesystems) and scoping network access via existing ingress/egress controls, it limits the blast radius of prompt injection, prevents data exfiltration, and reduces lateral movement—aligning to OWASP Top 10 for LLM and GenAI apps.

The best way to securely run MCP at scale is to deploy WebAssembly components on Cosmonic Control. Cosmonic Control is a Kubernetes-native WebAssembly control plane that leverages your existing pipelines, security policies, operational controls, ingress/egress, and observability. You keep your Kubernetes guardrails (RBAC, admission, policy) and gain zero-trust, capability-driven isolation for every MCP workload.

WebAssembly components enforce shared-nothing sandboxes with explicit capabilities, dramatically shrinking the attack surface versus general-purpose containers. Components cold-start in microseconds, autoscale to zero, and pack densely—enabling thousands of isolated MCP workloads per host while maintaining strong isolation boundaries.

Yes. Sandbox MCP runs wherever CNCF wasmCloud runs—including public cloud, on-premises, and edge—across common Kubernetes platforms (EKS, AKS, GKE, OpenShift, Rancher/K3s, and more). For enterprise teams, Cosmonic Control provides a turnkey path to operate, scale, and observe MCP components on any Kubernetes.

You can generate your first secure MCP component in minutes: install the CLI and plugin, point to your OpenAPI spec, generate the sandboxed server, and run locally. Iterate on business logic in your IDE, then deploy to CNCF wasmCloud or to Cosmonic Control for production on Kubernetes.

Sandbox MCP embraces OpenTelemetry for end-to-end traces, metrics, and logs, making MCP servers first-class citizens in your existing dashboards. It supports common authentication patterns—API keys, OAuth 2.0, mutual TLS, and JWT—so you can enforce access control with enterprise-grade confidence.

Sandbox MCP is free and open source. For production operations, Cosmonic offers enterprise-grade hosting, support, and Kubernetes integration via Cosmonic Control—so you can move from local dev to compliant, fleet-scale deployment with confidence and clear SLOs.

Sandbox MCP is industry-agnostic and infrastructure-neutral. Common adopters include financial services (least-privilege data access for LLM agents), AI/ML platforms (safe tool execution), cloud and infrastructure providers (multi-tenant, high-density compute), and media/gaming (predictable, isolated plugin runtimes).