Memecub

---
name: memecub
description: Find memes, 表情包 / 斗图 and reaction images and place them into articles, newsletters, docs or video scripts. Use when the user asks to add memes / 表情包 / reaction images to a piece of writing, to "配图" with memes, or to find a meme for a feeling, reaction or character (熊猫头, 奶龙, Drake, This Is Fine…). Searches the memecub library over HTTP with curl; every result says whether it is cleared for commercial use.
---

# memecub: memes for writing

memecub covers trending memes: Chinese 表情包 / 斗图 (熊猫头, 奶龙, 蘑菇头, 金馆长, 吗喽…), English reaction memes and templates (Drake, This Is Fine, Doge…), plus openly licensed emoji and art.

- Memes collected from the web: `license.commercial_use: false`.
- Openly licensed images: `license.commercial_use: true`, with `attribution` (a ready credit line) when `license.attribution_required` is true.

Each result has a `markdown` field that already contains the credit line when one is required.

## How to call it

Everything goes through one HTTPS endpoint; `curl` is enough. No key is needed for searching (120 searches/day per IP). If the user has a key (`MEMECUB_API_KEY`, from https://memecub.com/library#keys), send it to get 300 searches/day and their private library:

```bash
curl -sG https://memecub.com/api/v1/search \
  --data-urlencode "q=无语" -d limit=8 -d min_size=150 \
  ${MEMECUB_API_KEY:+-H "Authorization: Bearer $MEMECUB_API_KEY"}
```

The response is JSON: `{"data": [{id, title, url, width, height, kind, license: {commercial_use, attribution_required, …}, attribution, markdown}, …], "total": …}`.

Query parameters:

| Parameter | Use |
|---|---|
| `q` | 1–3 words describing the reaction or character |
| `limit` | up to 50 |
| `min_size=150` | skip images too small for an article |
| `kind=meme` / `kind=gif` | only memes / only animated memes (when emoji or photos crowd the results) |
| `commercial=1` | only images cleared for commercial use |
| `no_credit=1` | only commercially usable images that need no credit line |
| `private=1` | only the user's own uploads (needs a key) |
| `profanity=1` | also return memes whose captions contain swearing (hidden by default; only if the user asks) |

If a `memecub` MCP server is connected, its `search_memes` tool takes the same options and you can use it instead of curl.

## Placing memes into an article

Do the reading yourself; only call memecub for search. This keeps cost low and gives better picks.

1. **Read the whole piece.** Note its language, tone, audience, and whether it is commercial (ads, sponsored posts, client work).
2. **Pick the spots.** Default to one image per 400–600 words (Chinese: per 600–1000 characters), at most one per section, never more than the user asked for. Good spots: a punchline, a surprise or reveal, a pain point the reader recognizes, a win, an ironic aside. Skip the title, the first sentence, code blocks, tables and anything solemn.
3. **Describe each spot as a reaction, not a topic.** Search for what the reader should *feel*. Chinese 表情包 searches work best as short 2–4 character phrases: `无语`, `裂开`, `震惊`, `摸鱼`, `打工人`, `崩溃`, `感动哭了`. English: `facepalm`, `mind blown`, `this is fine`, `side eye`. For a named character (熊猫头, 奶龙, Drake) or the user's own mascot, search the name too.
4. **Search in the article's language first**, 2–3 phrasings per spot, with `min_size=150`. Chinese articles get Chinese 表情包 from Chinese queries; English queries mostly return English memes and emoji, so use them only as a fallback. For commercial pieces add `commercial=1` if the user wants to stay safe.
5. **Choose.** Prefer, in order: matches the reaction precisely; the caption (`title`) fits the sentence; visual variety across the article (don't use the same character twice in a row). Never reuse an image in one article.
6. **Insert** each image on its own line right after the paragraph it reacts to, with a blank line before and after, using the result's `markdown` field unchanged. It already includes the credit line when the license requires one; do not strip it.
7. **Report back** with a short list: where each image went, which image, and whether it is cleared for commercial use. Mention any spot you skipped because nothing fit well. Do not invent images or URLs.

## One-shot alternative

If the user has a key and just wants it done server-side:

```bash
curl -s -X POST https://memecub.com/api/v1/match \
  -H "Authorization: Bearer $MEMECUB_API_KEY" -H "Content-Type: application/json" \
  -d '{"text": "<the article, JSON-escaped>", "count": 4, "commercial": false}'
```

The response has `data.markdown` (the article with memes inserted) and `data.slots` (each spot, the chosen meme, alternatives, and `placed: false` if the sentence could not be found). It uses the user's daily quota (5 articles/day free; failed runs are not counted).

## Finding a single meme

For "find me a meme for X": search 2–3 phrasings, show the top 3–5 as Markdown images with whether each is cleared for commercial use, and let the user choose.

## Rules

- Only use images returned by memecub. Never hotlink or suggest images from elsewhere as "free to use".
- Keep credit lines whenever `attribution_required` is true.
- If the user says the piece is commercial and you used any `commercial_use: false` image, say so once in your report and offer `commercial=1` alternatives.
- Images marked `private: true` belong to the user's private library: the user declared they have rights to them. Remind the user once if such an image's declared license is non-commercial (e.g. `cc-by-nc-sa`) and the article looks commercial.
- If results are thin, say so and try other phrasings; memecub fetches more images for that query in the background, so retrying in a minute can help.