How to Schedule Social Media Posts from ChatGPT and Claude

Most people already draft social posts inside ChatGPT or Claude. The annoying part is everything after the draft: copy it out, open your scheduling tool, paste, reformat, pick a time, repeat for every network. The AI writes; you do the busywork.

That gap is closing. With MCP, your AI assistant can create, schedule and publish posts directly — no copy-paste, no second tool open. Here's how it works.

What is MCP?

MCP (Model Context Protocol) is an open standard that lets AI assistants like Claude and ChatGPT connect to external tools and act on your behalf. Think of it as a USB port for AI: instead of the assistant being a sealed box that can only talk, MCP lets it do things in the apps you already use.

When a tool exposes an MCP server, any MCP-compatible assistant can call it in natural language. You say "schedule this for Tuesday at 9am on LinkedIn," and the assistant actually does it.

Why this matters for social media

Scheduling is the perfect MCP use case because it's mechanical work wrapped around creative work:

• The creative part — coming up with the idea and the copy — is what the AI is already good at.
• The mechanical part — picking the network, formatting for it, choosing a slot, hitting publish — is exactly what you want to hand off.

With an MCP connection, the whole thing happens in one conversation. Draft, adapt per platform, schedule, done — without ever leaving the chat.

How to set it up with Keryo

Keryo runs a hosted MCP server, so any MCP client can drive it. The endpoint is:

https://mcp.keryo.io/mcp

At a high level:

1. Create a Keryo account and connect your (or your client's) social networks via their official OAuth flows.
2. Add the Keryo MCP server to your assistant — in Claude, that's the Connectors settings; other MCP clients have an equivalent "add server" step.
3. Start talking. Ask it to draft a post, rewrite it for each platform, schedule it, or pull your stats.

Full step-by-step instructions live in the MCP landing page and the documentation.

What you can actually do in chat

Once connected, natural-language requests like these just work:

• "Write a LinkedIn post about our new feature and schedule it for tomorrow 8am."
• "Take this idea and adapt it for X, Instagram and Threads, then schedule all three for this week."
• "How did last week's posts perform?"

Each request maps to a real action — creating, scheduling, publishing or fetching analytics — across the seven networks Keryo supports (LinkedIn, X, Instagram, Facebook, TikTok, YouTube, Threads).

The bigger picture

This is a genuine shift in how social media work gets done. The old model was AI drafts, human operates the tools. The new model is AI drafts and operates the tools, human directs. Neither Buffer nor Hootsuite offers an MCP server today — so if working from inside your AI assistant appeals to you, this is one of the few ways to actually do it.

Want to try it? Start a free 7-day Keryo trial and connect it to your assistant. And if you're weighing your options, here's Keryo vs Buffer and Keryo vs Hootsuite.