Turn TikTok into a REST + MCP endpoint

Writ turns the TikTok actions you already do in a browser into a callable REST endpoint your software (and your AI agents) can call.

curl -X POST https://api.usewrit.app/v1/tiktok/run \
  -H "Authorization: Bearer wt_8f2c...a91" \
  -H "Content-Type: application/json" \
  -d '{ "input": { "query": "your search term" } }'

Record the TikTok task once (open a profile, then read recent videos and metrics) and call it as a REST endpoint and an MCP tool. No backend project, no waiting on TikTok to ship an API.

1. 1
   Record the TikTok task once

   Open the recorder and open a profile on TikTok in a real browser. Writ captures each step, including login and 2FA, into a reusable workflow.

2. 2
   Publish it as an endpoint

   One click turns the workflow into a callable REST endpoint at /v1/tiktok/run and a matching MCP tool. Inputs become a typed schema.

3. 3
   Call it from anything

   Call TikTok from your code, a no-code tool, or an AI agent. Run it on your own machine for free, or on metered cloud.

Read the REST API docs, see what's possible on workflows, or search for another site. Free to start. See pricing.

TikTok has an API, but TikTok's APIs are gated for research and marketing partners; there is no general API for browsing profiles and videos.

Writ closes that gap. Record the TikTok task once (or describe it to an AI session) and publish it as a REST endpoint at /v1/tiktok/run and a matching MCP tool. Writ runs on your own accounts, with your own credentials and data, on sites you are authorized to use.

Each operation below is a real TikTok action recorded into a workflow and exposed as a typed endpoint.

Returns structured fields such as video caption, views, likes, comment count: typed JSON, not raw page text.

POST your inputs, get structured output. Authenticate every call with a scoped wt_ key.

curl -X POST https://api.usewrit.app/v1/tiktok/run \
  -H "Authorization: Bearer wt_8f2c...a91" \
  -H "Content-Type: application/json" \
  -d '{ "input": { "query": "your search term" } }'

import requests

r = requests.post(
    "https://api.usewrit.app/v1/tiktok/run",
    headers={"Authorization": "Bearer wt_8f2c...a91"},
    json={"input": {"query": "your search term"}},
)
print(r.json()["output"])

{
  "run_id": "run_tikt_7b21",
  "status": "succeeded",
  "output": {
    "video_caption": "...",
    "views": "...",
    "likes": "..."
  }
}

The reason TikTok has no usable API is the same reason it's hard to automate. Writ handles it.

Writ signs into your own TikTok account through a Persona for views that need a session, or reads public profiles with no login.

Pick whichever fits the task. All three produce the same callable workflow.

Built on the same engine as the recorder and workflows.

Monitor TikTok for new video from an account, view threshold, follower-count change and fire this endpoint the instant something changes.

Monitors check as fast as every 10s (10s on Enterprise). A detected change becomes an automation trigger that runs your workflow in seconds. Monitor TikTok ▸

Build a TikTok API

Record it once, then call it from your software and your AI agents. Get started free.