Interactive case study
2 months build window

ChatGPT MCP Orchestrator

Multi-Mode MCP Server & Integration Gateway

Headline outcome
Unified private MCP usage and public HTTPS app delivery inside one orchestrator with strict startup validation.
Business Outcome: Unified local private STDIO and public HTTPS modes, ensuring zero-trust secure access to terminal tools.
2
Runtime Modes
80+
Tooling Surface
1
Unified Gateway
TypeScriptMCPACPA2ApnpmOAuth/Bearer Auth
ChatGPT MCP Orchestrator dashboard

Why it matters

Built a reusable MCP gateway that bridges local automation, public app deployment, and integration-heavy workflows.

Current signal

Pending

Focused delivery from architecture through working interaction model.

Mission

Why this system had to exist

I designed this orchestrator to reduce the operational overhead of running multiple MCP-facing services with different runtime expectations. Some environments needed local STDIO or HTTP access, while others needed a public app surface with stricter security and configuration guarantees. The project had to centralize those concerns without creating separate codebases for each mode.

Moment 01

I designed this orchestrator to reduce the operational overhead of running multiple MCP-facing services with different runtime expectations.

Moment 02

Some environments needed local STDIO or HTTP access, while others needed a public app surface with stricter security and configuration guarantees.

Moment 03

The project had to centralize those concerns without creating separate codebases for each mode.

Stage 1 of 4
Immersive sandbox
MCP Startup Check ValidatorStatus: active
Environment paths checkingpass
Bearer auth check parametersbypass
Local SQLite secret file checkpass
Cloudflare tunnel gate ingressbypass

Architecture explorer

Select a layer to inspect the operating shape of the system.

Active layer

TypeScript MCP Core

Dual operating modes for private MCP and public app deployments

This layer participates in the wider system boundary described in the story above, connecting runtime behavior, user-facing interaction, and safety constraints into one deployable stack.

Before / after transformation

The outcome is easier to feel when you switch between baseline and optimized states.

Before

Deployment Model

Separate ad hoc setups

After

Optimized resolution

Single multi-mode orchestrator

What shipped

Dual operating modes for private MCP and public app deployments

Health checks, tunnel status, and deployment diagnostics

Large integration surface for GHL, n8n, Notion, ClickUp, and more

Workflow-oriented scripts for operations, maintenance, and portfolio tasks