# Can an AI social media manager work across ChatGPT & Claude?

> Yes, through the Model Context Protocol (MCP). A tool that exposes an MCP server can be called from Claude, ChatGPT or another compatible client directly, without a person copying content between separate apps.

Updated: 2026-09-17.

## How the connection actually works

MCP (Model Context Protocol) is what lets an AI assistant call a tool's real actions directly, drafting, scheduling, publishing, rather than only describing what to do & leaving a person to go do it manually elsewhere.

A social media tool that runs an MCP server exposes its actions as callable tools. An assistant connected to that server can then draft a post, save it to memory, or schedule it, using the same underlying actions the web app's own buttons trigger.

## What this looks like with DunSocial

DunSocial's hosted MCP server exposes 53 tools covering posts, drafts, memory, media, workspaces & personalization. It works with Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT, Windsurf, Cline & Continue, connected over a bearer token generated in account settings, no API key pasted manually into a config file for the main clients.

A person working in Claude, for instance, can ask it to draft a post about something they just shipped, & the assistant can pull relevant brand memory, write the draft, & schedule it, all through tool calls rather than a person switching to a separate dashboard partway through.

## What stays the same regardless of which assistant is used

- Drafting & publishing remain two separate steps
- Posts scheduled this way land on the same calendar as ones scheduled through the web app
- DunSocial tags MCP-originated posts with their source, so it's visible afterward that an assistant, not a person directly, queued it

## Why this matters beyond convenience

Working across ChatGPT & Claude through the same underlying tool means brand memory, connected accounts & the calendar stay consistent no matter which assistant someone happens to be using that day. Nothing is duplicated or re-explained per client.

DunSocial's single workspace is what makes that true in practice: the memory an assistant reads from is the same memory the web app's composer reads from.

## The current limitation worth knowing

MCP support varies by tool & by exactly which actions are exposed. Before assuming a specific assistant can do something specific with a specific tool, checking that tool's actual MCP tool list, not just whether it says "MCP support" somewhere, is the more reliable way to know what will actually work. DunSocial's full 53-tool list is documented for exactly that check.

## Related guides

- [What is an AI social media manager?](https://www.dunsocial.com/hub/ai-social-media-manager/what-is-an-ai-social-media-manager.md)
- [Can AI schedule social media posts?](https://www.dunsocial.com/hub/social-media-scheduler/can-ai-schedule-social-media-posts.md)
- [How AI can help with social media management](https://www.dunsocial.com/hub/social-media-management/how-ai-helps-with-social-media-management.md)
- [What can't an AI social media manager do yet?](https://www.dunsocial.com/hub/ai-social-media-manager/what-cant-an-ai-social-media-manager-do-yet.md)

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