Controlled tool access for AI clients
Private MCP Server Hosting
Design, host, and govern MCP servers that expose useful business tools without handing agents unrestricted access to production systems.
Best For
- SaaS products
- Internal operations tools
- Teams with APIs that need agent-safe surfaces
Outcomes
- Tool inventory and schema design
- Streamable HTTP MCP route
- Tenant, agent, and scope model
- Staging deployment and smoke evidence
Evidence
- 16-tool DID Catalog MCP foundation
- HTTP and stdio transports
- K8s manifest validation
Delivery Scope
Built for discovery, action, and review.
DID packages the public-facing surface, the machine-readable surface, and the operating controls together so the first pilot can be sold, staged, and reviewed without pretending agents should act without limits.
MCP server scaffold
Tool safety classes
Authorization and event contract
Kubernetes-ready deployment package
Safety Controls
Controlled by design.
These pages sell readiness and governed implementation, not unbounded autonomy. The operating model keeps payment, support, policy, and regulated release gates visible before any customer pilot.
- Deny unknown tools by default
- License Agent entitlement check path
- Audit event hashes for inputs and outputs
- Approval gates for write or regulated tools
First Step