TikTok Agent Publisher

Agent-first TikTok Content Posting API CLI + MCP.
Dry-run safe, OAuth readiness checks, structured output for any agent runtime.

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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.

Why It Exists

Most social publishing scripts are built for humans at a terminal. Agents need a different contract:

• a manifest that explains install/runtime rules
• a connection status tool before write operations
• privacy boundaries that never return token values
• dry-run by default
• structured JSON outputs for planning, retries and audit trails

This repo packages that contract around TikTok's official Content Posting API.

Install

npm install -g tiktok-agent-publisher

Or run without installing:

npm exec --yes --package=tiktok-agent-publisher -- tiktok-agent-publisher doctor

First Post (Dry-Run) Walkthrough

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,
    "refresh_token": false,
    "public_media_base_url": false,
    "supabase_storage": false
  },
  "missing": [
    "TIKTOK_CLIENT_KEY",
    "TIKTOK_CLIENT_SECRET",
    "TIKTOK_ACCESS_TOKEN",
    "TIKTOK_REFRESH_TOKEN"
  ],
  "ready_for_live_publish": false,
  "ready_for_direct_video_upload": false,
  "next_steps": [
    "Current mode is dry-run. Use dry-run to validate agent workflow before live posting."
  ]
}

2. Confirm the privacy boundaries. privacy-audit states what stays local and what is sent to TikTok, so the agent can reason about the contract before any write.

$ tiktok-agent-publisher privacy-audit
{
  "project": "tiktok-agent-publisher",
  "secrets_returned_to_agent": false,
  "token_storage": "Environment variables or local .env with user-only file permissions; tokens are never returned by tools.",
  "safety_rules": [
    "Dry-run is the default.",
    "Only post content the user owns or has permission to publish.",
    "Use explicit confirmation before live direct posting."
  ]
}

3. Build the publish payload (dry-run). This validates the job shape and caption without uploading anything. result.platformPostId is a synthetic dryrun_* id and raw.dryRun is true, so you can wire up retries and audit logging safely.

$ tiktok-agent-publisher publish-video \
    --video ./short.mp4 \
    --caption "First agent post — testing the dry-run flow" \
    --title "Hello from an agent"
{
  "ok": true,
  "dry_run": true,
  "job": {
    "id": "tiktok_1780082349025",
    "platform": "tiktok",
    "status": "queued",
    "caption": "First agent post — testing the dry-run flow",
    "mediaPaths": ["./short.mp4"],
    "metadata": { "title": "Hello from an agent" }
  },
  "result": {
    "provider": "tiktok_official",
    "platformPostId": "dryrun_1780082349025",
    "raw": { "dryRun": true, "jobId": "tiktok_1780082349025" }
  }
}

4. Poll status (dry-run). publish-status returns a DRY_RUN status so the polling loop can be exercised end to end.

$ tiktok-agent-publisher publish-status --publish-id dryrun_1780082349025
{ "dryRun": true, "publishId": "dryrun_1780082349025", "status": "DRY_RUN" }

5. List recent videos (dry-run). Returns an empty, well-formed list — the same shape the live API returns, so post-publish confirmation code works unchanged.

$ tiktok-agent-publisher list-videos --max-count 5
{ "dryRun": true, "videos": [], "cursor": null, "has_more": false }

Going live. Fill in TIKTOK_CLIENT_KEY / TIKTOK_CLIENT_SECRET (and complete OAuth — see auth-url), confirm doctor reports ready_for_live_publish: true, then set TIKTOK_DRY_RUN=false. The same five commands then operate against the real Content Posting API.

CLI

tiktok-agent-publisher manifest --client codex
tiktok-agent-publisher doctor
tiktok-agent-publisher privacy-audit
tiktok-agent-publisher auth-url --redirect-uri http://localhost:8787/callback
tiktok-agent-publisher publish-video --video ./short.mp4 --caption "Launch copy"
tiktok-agent-publisher publish-status --publish-id <publish_id>
tiktok-agent-publisher list-videos --max-count 10

Dry-run is enabled by default. Set TIKTOK_DRY_RUN=false only after doctor is clean and you are ready for live API calls.

MCP

Stdio:

tiktok-agent-mcp

HTTP:

TIKTOK_MCP_TRANSPORT=http tiktok-agent-mcp

Hermes-style config:

mcp_servers:
  tiktok:
    command: npx
    args: ["-y", "tiktok-agent-publisher"]
    sampling:
      enabled: false

Recommended first calls:

1. tiktok_connection_status
2. tiktok_privacy_audit
3. tiktok_publish_video

Agent Surfaces

Copy-Paste Agent Prompt

Use tiktok-agent-publisher. First call tiktok_connection_status and tiktok_privacy_audit.
If dry-run is enabled, build the publish payload only. Do not request or print token values.

Configuration

Copy .env.example to .env and fill only the values you need. Do not commit .env, token files or .agent-data/.

For video inbox uploads, a local file can be uploaded directly through TikTok's upload URL. Photo and pull-from-url workflows can use Supabase Storage or another public media host.

Safety Model

• Tokens are read from environment or local .env; tool responses never include token values.
• Live publishing is disabled unless TIKTOK_DRY_RUN=false.
• OAuth PKCE verifier is persisted locally in .agent-data/ and not returned in MCP output.
• The package uses TikTok's official API surfaces; it does not automate a browser session.

Development

npm install
npm test
npm run check

📧 Contact & Support

• 📨 support@delx.ai — general questions, integration help, partnerships
• 🐛 Bug reports / feature requests — GitHub Issues
• 🐦 Updates — @delx369 on X
• 🌐 Site — wellness.delx.ai