Connecting services and preparing your dashboard.
Both approaches work. The difference is where the operational burden lives and how much setup you want to repeat.
| Step | Local MCP (stdio) | Zephex (cloud HTTP) |
|---|---|---|
| Install server package | Use npx or install a package globally. | Nothing to install. |
| Create config file | Per-editor JSON config with command and args. | Per-editor JSON config with url and headers. |
| Start the server | Run it yourself or let the editor spawn it. | Already running. |
| Verify tools | Check the editor panel. | Run curl against tools/list. |
On a single machine with one editor, local setup and hosted setup are close in effort. The difference becomes obvious once you need consistency across machines, environments, or teammates.
Local MCP servers need active maintenance. Zephex moves that work server-side, so there is nothing to update, pin, or debug locally.
If you work across a laptop, desktop, remote dev box, or CI environment, local MCP means repeating setup everywhere. With Zephex, you keep one config per editor type and reuse the same URL and key anywhere you need MCP access.
Local MCP means every developer manages their own server version and setup. One person upgrades, another stays pinned, and behavior diverges. With Zephex, everyone hits the same endpoint with their own API key. Tool behavior stays consistent, usage is visible per key, and revoking access is a dashboard action instead of a machine cleanup task.
Local MCP gives you maximum control and flexibility at the cost of maintenance. Zephex gives you a managed, consistent, zero-maintenance tool surface, with the tradeoff that you use the tools Zephex provides instead of arbitrary local servers.
For most day-to-day AI-assisted coding, Zephex removes more friction than it adds.
