- A focused tool surface
- Predictable AI-client behavior
- Inspectable source and documentation
- A reusable integration boundary
Custom MCP Server
A custom Model Context Protocol server built around your API, service, or data—with authentication, input validation, safe network boundaries, and typed failures.
Built for a real decision or delivery constraint.
Product teams and agencies that need Claude, ChatGPT, or internal agents to operate against a real system safely.
- Authentication and authorization
- Schema validation
- SSRF and redirect protection
- Rate limits and audit logs
- MCP server implementation
- Tool schemas and typed errors
- Automated test suite
- Client setup guide
- Deployment and operations runbook
Scope is agreed before implementation. Material changes are estimated separately. Third-party infrastructure and model usage remain visible and are normally billed directly to the client.
No black-box demo. No indefinite discovery.
Every engagement begins with explicit acceptance criteria and ends with source, tests, deployment configuration, and operational documentation appropriate to the scope.
If the use case does not justify an AI system, the recommendation may be normal software, simpler automation, or no build at all.
Start the custom mcp server with a clear boundary.
The Architecture Review turns a use case, prototype, or delivery opportunity into a defensible implementation plan in five business days.