Local-first TikTok Content Posting API for AI agents: OAuth checks, dry-run and live uploads.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-davidmosiah-tiktok-agent-publisher": {
"command": "<see-readme>",
"args": []
}
}
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Local-first TikTok Content Posting API for AI agents: OAuth checks, dry-run and live uploads.
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⭐ If this agent-first tool helps your workflow, please star the repo. Stars make this tooling easier for other builders to discover and help Delx keep shipping open infrastructure.
🧱 Part of the Delx agent stack — 15 open-source MCP servers across body, reach and coordination.
Local-first TikTok Content Posting API tooling for AI agents. It gives Codex, Claude, Cursor, Hermes, OpenClaw and other MCP clients a safe way to check readiness, build OAuth URLs, dry-run publish flows and upload TikTok videos only when live mode is explicitly enabled.
Use it when an agent needs to publish or inspect TikTok content without browser automation, hidden state or token leakage.
Most social publishing scripts are built for humans at a terminal. Agents need a different contract:
This repo packages that contract around TikTok's official Content Posting API.
npm install -g tiktok-agent-publisher
Or run without installing:
npm exec --yes --package=tiktok-agent-publisher -- tiktok-agent-publisher doctor
No TikTok credentials are required to try this. With no .env, dry-run is on by
default, so every command below returns structured JSON without touching the live
API. This is the exact sequence an agent should follow before its first real post.
The outputs are real CLI runs, lightly trimmed.
1. Check readiness. doctor reports mode and what is still missing — never any
token values.
$ tiktok-agent-publisher doctor
{
"ok": true,
"dry_run": true,
"configured": {
"client_key": false,
"client_secret": false,
"access_token": false,
... [View full README on GitHub](https://github.com/davidmosiah/tiktok-agent-publisher#readme)