01
Pressure
More tools create a discovery problem.
Large tool lists consume context and make selection harder. The gateway registers capabilities and finds a smaller relevant set for each request.
Case / ManagedCode.MCPGateway
WHEN THE TOOL LIST OUTGROWS THE CHAT
A model should not receive every tool definition when a product has hundreds or thousands of capabilities.
↓02
Mechanism
Search first. Invoke second.
The host searches a catalog backed by graph or vector retrieval, then invokes a selected tool through one execution surface. The hosting application still owns deployment and scale.
03
Proof
The code is public.
ManagedCode.MCPGateway targets .NET 10 and uses the official MCP C# SDK. Review the contracts, examples, and current limits in the repository.
- github.com/managedcode/MCPGateway
Evidence / Primary sources
ManagedCode.MCPGateway
Public repository for the Managed Code MCP Gateway implementation and its current contracts.
Model Context Protocol · tools specification
Protocol reference for named, discoverable tools and their input and output contracts.
OpenAI · Apps SDK
Official guide to MCP servers, tools, authentication, and UI for ChatGPT apps.
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.