What's the difference between ChatGPT MCP and Claude MCP?

The protocol is identical — that is the point of MCP. The differences are in the client: how you add a server, which plans get access, how tools are surfaced in the interface, and how write confirmations work. A server that works with one works with the other, with no changes.

Which has better MCP support, ChatGPT or Claude?

Claude has supported MCP longer and its desktop app makes local servers straightforward. ChatGPT's Developer mode gives full read and write support with unusually good visibility into tool payloads. For remote servers the practical experience is now close; for local stdio servers Claude Desktop is still the easier path.

Can I use the same MCP server with both?

Yes, and you should. A remote MCP server is client-agnostic. Add the same URL to both and the same tools appear in both. This is exactly why MCP matters for anything you want to survive changing providers.

Does ChatGPT MCP support local servers?

Not through the web app. ChatGPT connects to remote servers over SSE or streaming HTTP. Local stdio servers running on your own machine are reachable by desktop clients like Claude Desktop, not by ChatGPT on the web.

Do I need a paid plan for MCP on either?

For ChatGPT, Developer mode is listed for Pro, Plus, Business, Enterprise and Education. Claude's MCP support is likewise tied to its paid tiers and desktop app. Neither offers full MCP on a free account today.

A comparison · ~6 min read

ChatGPT MCP vs Claude MCP

The protocol is identical. That is the single most important fact here, and it is easy to miss under the branding. What differs is the client wrapped around it — how you add a server, who is allowed to, and what the interface shows you while it works.

Side by side

	ChatGPT	Claude
Where you enable it	Settings → Security and login → Developer mode	Connector settings / Claude Desktop config
Remote servers	Yes — SSE and streaming HTTP	Yes
Local stdio servers	No, web client only	Yes, via Claude Desktop
Write actions	Yes, confirmation required by default	Yes, with approval prompts
Per-tool on/off	Yes, on the app's details page	Yes
Inspect raw tool JSON	Yes — expand any call	Partial
Mobile	No	Limited

Where each one is better

Claude got there first, and it shows in the local story. If your MCP server runs on your own machine — a filesystem tool, a local database, something you are actively developing — Claude Desktop is the shorter path by a wide margin.

ChatGPT has the better window into what is happening. Being able to expand any tool call and read the exact JSON in both directions is the single most useful debugging affordance either client offers, and it makes write actions meaningfully safer to supervise.

For a hosted remote server, the two are close enough that the decision should come down to which assistant you prefer talking to — which is exactly the position an open protocol is supposed to put you in.

Short answer

Same protocol, different wrappers. Claude wins on local servers, ChatGPT wins on transparency, and any remote server worth using answers both. Do not pick a memory tool based on which assistant you use today — pick one that speaks MCP and let the assistant be the swappable part.

The case for connecting both

There is no reason to choose. Add the same server URL in each client and the same tools appear in both. Your context stops being a property of whichever assistant you happened to build it up in, and becomes something you carry between them.

That is what Konshus does with https://konshus.ai/api/mcp — one vault, one URL, answering ChatGPT and Claude identically. More in MCP and AI memory.

Frequently Asked Questions

Connect both. Keep one memory.

Konshus serves the same vault to ChatGPT and Claude over MCP — so the assistant becomes the swappable part, not your history.

Meet Konshus