ChatGPT Connectors vs Claude Connectors: What Each One Does
ChatGPT and Claude each have connector systems, but they work differently and do not connect to each other directly. Here is how both approaches work, where they overlap, where they differ, and how a shared work record in fenbs lets both assistants read the same project context.
Updated 4 min read
ChatGPT and Claude both support connections to external tools, but their connector systems are separate, built differently, and are not interchangeable. There is no ChatGPT connector that connects to Claude, and no Claude connector that connects to ChatGPT. They are different products from different companies with their own integration approaches. The practical way to share work context between them is through a tool that both can read, such as fenbs, which connects to both over MCP.
If you use both assistants, or if your team uses one while you use the other, the question is not which connector is better. The question is how to keep one coherent record both can access.
A summary of the two approaches
| ChatGPT connectors | Claude connectors | |
|---|---|---|
| What they are | Interface integrations for approved apps plus MCP connections in developer settings | Connections to approved apps and data sources in Claude.ai, plus MCP connections for compatible clients |
| Standards used | Proprietary interface connectors and the open MCP standard | Proprietary interface connectors and the open MCP standard |
| Admin control | Available in ChatGPT Enterprise; individual users manage personal connections | Available in Claude for Business; individual users manage personal connections |
| Do they connect to each other? | No | No |
| Can they share context? | Through a shared external record like fenbs | Through a shared external record like fenbs |
How ChatGPT connectors work
ChatGPT supports two routes for external connections. The first is interface connectors: integrations with specific apps that OpenAI has added to the platform. You authorize them through the ChatGPT settings and they are then available during conversations. The available list is curated by OpenAI. See ChatGPT connectors and apps for what is currently on the list.
The second route is MCP, or Model Context Protocol, an open standard for connecting AI apps to outside tools. ChatGPT supports MCP connections through developer settings on plans that enable it. Any MCP-compatible service can connect this way without being on a curated list. fenbs connects to ChatGPT this way.
How Claude connectors work
Claude.ai has a connectors feature that lets you connect files, documents and approved services to Claude conversations. These are integrations built and approved by Anthropic. The Claude connectors explained page covers the available options in detail.
Claude also supports MCP connections through compatible clients, including Claude Code and Claude Desktop. An MCP server connected to Claude works the same way as one connected to ChatGPT: the assistant can call the server's tools during a conversation. fenbs connects to Claude Code and Claude Desktop this way, using the same MCP server that ChatGPT uses.
One shared record for both ChatGPT and Claude
fenbs connects to both ChatGPT and Claude through MCP. Whether you are in a Claude Code session or a ChatGPT conversation, the same project context is available: the same tasks, Decisions and rules, and Where we left off. If you switch between the two, the work record follows.
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Can ChatGPT connect directly to Claude?
No. There is no official ChatGPT connector for Claude and no Claude connector for ChatGPT. They are separate products from OpenAI and Anthropic respectively. There is no integration path between them in either direction.
The question often comes from people who want to use both assistants without losing context between them. That is a legitimate goal; the answer is to keep the context in an external record rather than in either assistant. See the Claude vs ChatGPT comparison for a broader view of the two.
Where the two connector systems are similar
Both assistants support the MCP standard, which means a well-built MCP server can connect to both without modification. fenbs is one example. If you are building an integration, building it as an MCP server is the most portable approach: it works with ChatGPT, Claude Code, Claude Desktop, Cursor, Codex CLI, Gemini CLI, and other MCP-compatible clients.
Both systems also use OAuth-based authorization, meaning connections are approved through a browser sign-in rather than a pasted API key. That keeps credentials out of configuration files and chat history.
Where the two systems differ
The curated connector lists differ. A connector available in ChatGPT may not be available in Claude and vice versa. If a specific integration matters to you, check each platform's current documentation rather than assuming parity.
Enterprise controls also differ. ChatGPT Enterprise has an admin console; Claude for Business has its own. The specific controls available on each platform are each company's to describe.
If you are switching from one assistant to the other, the ChatGPT to Claude article covers the transition, and Claude Projects vs ChatGPT Projects compares how each handles ongoing work.
How to do this with fenbs
- Create a free account and set up your project with current tasks and Decisions and rules.
- Go to Integrations and connect both the ChatGPT and Claude connections you need. Each uses MCP and a browser sign-in.
- When starting a session in either assistant, ask it to read the project context first.
- When ending a session, ask the assistant to save progress and update Where we left off.
- When switching assistants, the next one reads the same record. No re-explanation required.
When fenbs may not be the right fit
If you only ever use one assistant and do not work on projects with a team, a shared record adds overhead without a clear gain. fenbs is most useful when context needs to survive across sessions, tools or people. For single-session, single-assistant tasks, a good starting prompt is often enough.