Cases / Public proof and reference patterns

THE OPERATING MODEL BEHIND THE INTERFACE

Read the public MCPGateway case, then compare the B2C Prostir Build product with a private enterprise implementation pattern.

01

ManagedCode.MCPGateway

One searchable execution surface for many tools.

The open-source .NET library combines local AI tools and remote MCP servers, supports graph and vector search, and exposes selected capabilities downstream.

  • Official Model Context Protocol C# SDK
  • Local and remote tools in one registry
  • Prompts, resources, telemetry, and downstream export
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Collection / cases

Technical proof and clear boundaries.

The library distinguishes public engineering proof, a real B2C product, and a clearly labelled enterprise reference pattern. It does not invent client outcomes.

03

Evidence / Primary sources

Prostir Build

Managed Code's public B2C AI product for turning expertise into an agent.

AI / Second opinion

Ask your AI first.

Use this prepared question to assess where an AI Product Interface could remove friction from your product.

“I run a software product. Help me identify one high-value workflow customers could complete through an AI Product Interface. Ask me about the product, the user, the action, required data, permissions, and the safest small first release.”

The prompt is copied as a backup. Some AI hosts may ask you to paste it after sign-in.

FAQ04

Questions, answered.

Is this only an MCP server?

No. The MCP layer is one part. We also scope the product actions, permissions, host-specific behavior, UI, testing, and release path.

Do we need to rebuild our product?

Usually no. The interface sits in front of approved capabilities in your existing product. We start with a narrow workflow and expand from evidence.

Will it work in ChatGPT, Claude, and Gemini?

The shared architecture can support all three. Each host still has its own UI, authentication, approval, and publishing rules, so we verify them separately.

How do you keep actions safe?

We define explicit tools, validate inputs, keep user approval visible, and preserve the product's existing authorization rules.