Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/HasData/tiktok-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/hasdata/tiktok-mcp/tiktok-pulse)<a href="https://agentmods.dev/commands/hasdata/tiktok-mcp/tiktok-pulse"><img src="https://agentmods.dev/badge/commands/hasdata/tiktok-mcp/tiktok-pulse/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/hasdata/tiktok-mcp/tiktok-pulse"><img src="https://agentmods.dev/badge/commands/hasdata/tiktok-mcp/tiktok-pulse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00012 | $0.00391 |
| Opus 5.5 | $0.00005 | $0.00156 |
| Sonnet 5.5 | $0.00002 | $0.00078 |
| Haiku 4.5 | $0.00001 | $0.00039 |
Grade A, and why
tiktok-pulse scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 23d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Read an account's TikTok output.
Ask me for the handle if I have not given it, without the @.
Then:
- Call
hasdata_tiktok_profile_getTikTokProfile. Check that the response carries aprofileobject before reading it, because a handle that does not exist still answers 200 withstatusreadingokand only anerrorstring inside. If it is missing, tell me the account was not found and stop. - Report
nickname,username, whether it isverified, the biography, and the totals fromfollowers,likesandvideos. - Call
hasdata_tiktok_posts_getTikTokPostswith the same handle. FollownextPageTokenwhilepagination.hasMoreis true, up to the number of pages I asked for, and say how many posts you gathered. - Rank the posts by
plays, and reportlikes,comments,sharesanddurationbeside each one so I can see what the ranking rests on. - Give the engagement rate per post as likes plus comments plus shares over
plays, and say which posts beat the account's own median rather than calling them viral. - Read
hashtagswhere posts carry it, and fall back to parsing thedescriptionwhere they do not. Say which of the two you did, and report an account with no tagged posts as one that does not tag rather than as missing data. - Use
createTimeto describe the posting cadence and whether the strong posts are recent or old.
If I ask what people are saying about a video, pass its posts[].id as videoId, keeping it a string, check pagination.total first, and tell me how many of the comments you actually read.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 23d ago First seen · 20 lines · 12 tokens per session scan A 3f13dcedaba8
tiktok-pulse is a command published in the GitHub repository HasData/tiktok-mcp (10 stars, last pushed 4d ago), licensed MIT. It adds 12 tokens to every session and 391 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-23.
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hiring-map
Who is hiring for a role across several cities, with salaries where employers publish them.