Social media posting for AI agents
AI agents cannot post to social platforms on their own. Schedule & Chill is the layer that lets them: one REST API and a native MCP server that publish to X, LinkedIn, LinkedIn Pages, Facebook, Instagram, YouTube, TikTok, and Pinterest. Your agent calls one endpoint; the queue, OAuth, retries, and platform rules are handled.
Last updated July 26, 2026
Quick Answer
Two ways to give an agent posting access
MCP — point the client at https://schedulenchill.com/mcp and the agent gets 10 typed tools. Best when the model decides what to do.
REST — POST /api/posts with content and account ids. Best when your code decides and the model only writes copy.
Both use the same API key, the same quota, and the same managed publishing queue.
Why agents can’t just post
- Every platform has its own OAuth flow, token refresh cycle, and app review process — seven platforms means seven integrations to build and keep alive.
- Media rules differ per network: aspect ratios, file size caps, video length, and whether photos and video can be mixed in one post.
- Rate limits and transient failures mean posting needs a queue with retries, not a single HTTP call inside an agent loop.
- Agents hallucinate. Publishing is irreversible, so the system needs a review window and a cancel path.
What Schedule & Chill handles
- One OAuth flow per platform, completed once in the dashboard, then reusable by every agent.
- A managed queue with retries — the agent fires and forgets, and the queue owns delivery.
- Per-account delivery status, including partial publishes where one platform succeeded and another failed.
- Platform media rules enforced before the post leaves, so the agent gets a clear error instead of a silent failure.
- Scheduling with a future timestamp, so a human can review and cancel before anything goes live.
- A media library the agent can search and attach from, instead of re-uploading the same asset.
One call from anywhere
The REST path. Same result whether it comes from a Python agent, a Node worker, or a shell script.
curl -X POST https://schedulenchill.com/api/posts \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{
"content": "Shipped: per-account delivery status on every post.",
"social_account_ids": [789, 790],
"scheduled_at": "2026-08-01T14:00:00Z"
}'Works with what you already run
Anything that speaks HTTP or MCP
| Framework or tool | How it connects | Guide |
|---|---|---|
Claude Desktop / Claude Code | Native MCP | Read guide |
LangChain / LangGraph | REST tool or MCP adapter | Read guide |
n8n | HTTP Request node | Read guide |
Make.com | HTTP module | Read guide |
Zapier | Webhooks by Zapier | Read guide |
CrewAI, AutoGen, custom agents | REST API or MCP client | Read guide |
Shipping agents safely
Publishing is irreversible. These three defaults keep an autonomous agent from becoming a public incident.
Schedule, don’t publish
Give agent-created posts a future timestamp. The review window costs nothing and cancel_post undoes anything wrong.
Fetch ids, never guess
Call get_accounts at the start of a run so the model picks from real accounts instead of inventing ids that fail or hit the wrong channel.
Read the queue first
list_scheduled tells the agent what is already planned, so it does not duplicate a post a human already wrote.
Frequently asked questions
AI agents and social posting
Ship the agent, not the OAuth
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