# InstantClips (npm · instantclips-mcp)

Create branded vertical video ads from ecommerce product URLs or product photos.

- Trust score: 78/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-24

## Components

- remote · `app.instantclips.ai`: 38/100, [markdown](https://verifymcp.io/servers/ai-instantclips-instantclips/app.md), [page](https://verifymcp.io/servers/ai-instantclips-instantclips/app)
- npm · `instantclips-mcp`: 78/100 (this document), [markdown](https://verifymcp.io/servers/ai-instantclips-instantclips/instantclips-mcp.md), [page](https://verifymcp.io/servers/ai-instantclips-instantclips/instantclips-mcp)

## Channel facts

- Registry: `npm`
- Package: `instantclips-mcp`
- Version: `1.6.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-24.

- **Supply Chain Security**: 99/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - 3 of 14 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 10 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 62/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 7050 tokens (~542/item across 13 items; 13 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 75/100
  - Stability check failed: the tool surface changed between 1.2.0 and 1.6.0: 0 tool removals, 1 breaking changes, 3 additions.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the InstantClips MCP server?

InstantClips runs locally as an npm package, launched with npx -y instantclips-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add ai-instantclips-instantclips -- npx -y instantclips-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "ai-instantclips-instantclips": {
      "command": "npx",
      "args": [
        "-y",
        "instantclips-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "ai-instantclips-instantclips": {
      "command": "npx",
      "args": [
        "-y",
        "instantclips-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add ai-instantclips-instantclips -- npx -y instantclips-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-instantclips-instantclips": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "instantclips-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-instantclips-instantclips --command npx --arg -y --arg instantclips-mcp
```

### Hermes

```yaml
mcp_servers:
  ai-instantclips-instantclips:
    command: "npx"
    args: ["-y", "instantclips-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "ai-instantclips-instantclips": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "instantclips-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add ai-instantclips-instantclips -t stdio -c npx -a -y instantclips-mcp
```

### Other

```json
{
  "mcpServers": {
    "ai-instantclips-instantclips": {
      "command": "npx",
      "args": [
        "-y",
        "instantclips-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-24 (score 78, 0)

- [functional regression] Security disclosure: unverified → fail

### 2026-09-23 (score 78, +1)

- [functional regression] Security disclosure: fail → unverified

### 2026-09-20 (score 77, +1)

No change was recorded against any check on this day. Stability & Change Management went from 58 to 62.

### 2026-09-18 (score 76, +1)

No change was recorded against any check on this day. Stability & Change Management went from 52 to 55.

### 2026-09-16 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 45 to 48.

### 2026-09-15 (score 74, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-09-14 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 38 to 42.

### 2026-09-13 (score 58, −15)

- [security regression] Malware scan: pass → unverified
- [functional regression] Schema quality: 461 → 542
- [functional] Package version: 1.5.0 → 1.6.0

## MCP tools (13)

### `list_brands` (~116 tokens)

List the account's brands

List the brands on this account, with the plan's brand limit and whether
another brand can be created.

A brand carries the identity every video is drafted against: its voice,
its target market and its keywords. A product must belong to the brand it
actually comes from — a product drafted under another company's voice is
wrong even though it renders fine.

Call this before answering a `brand_decision_required` from
\`get_product`, and whenever the user needs to choose or name a brand.

This does not spend credits.

Output parameters:

- `brand_limit` (integer|null)
- `brands` (array)
- `brands_used` (integer)
- `can_create_brand` (boolean)
- `unlimited_brands` (boolean)

### `list_products` (~201 tokens)

List the account's products

List the account's products, newest first — the ones imported here, on
the website, or from photos dropped on the workbench. Use it to find a
product_id you do not have: a product the user made on the website, or
one from an earlier conversation. Then `get_product` for its full state.

\`query` matches the name or the source URL, `brand_id` narrows to one
brand (see `list_brands`), and `limit` caps the list (default 20, at
most 50). A product still waiting on its brand decision shows
\`brand_decision_required: true` and no brand.

This does not spend credits.

Input parameters:

- `brand_id` (string): Only this brand's products.
- `limit` (integer): How many, newest first. Default 20.
- `query` (string): Matches the product's name or source URL, case-insensitively.

Output parameters:

- `count` (integer)
- `next_step` (string)
- `products` (array)
- `total` (integer)

### `import_product_from_url` (~428 tokens)

Import a product from its page URL

Start a new InstantClips product from a product page URL (a storefront
listing, e.g. a Shopify product page).

Returns immediately with a product_id — the scrape, the image download
and the first video-direction draft all run in the background. Poll
\`get_product` until `import_status` is "imported" and
\`video_direction.drafting` is false, which usually takes under a minute.

Pasting a URL that was already imported on this account returns that
existing product instead of creating a duplicate. If that import had
failed, pasting it again retries it (`retried` is true). If its video
has already been generated, editing or redrafting opens the next
video's draft. Either way the response's `next_step` says what to do now.

If the storefront name does not exactly match a brand this account has
already reviewed, the import stops on a brand decision instead of
guessing: `get_product` will report `brand_decision_required`, and no
video direction is drafted until it is resolved with `create_brand` or
\`set_product_brand`. Do not assume the account's existing brand — a
product from a different company drafted under the wrong brand's voice
is the failure this prevents. Pass `brand_id` only when the user has
told you which brand this product belongs to.

Direction drafting sends product facts, photos and brand context to
an external AI service when the product is ready and its brand is settled.

A store-domain ownership restriction refuses the import and sends a
support notification containing account and store information.

This does not spend credits. Only `generate_video` does.

Input parameters:

- `brand_id` (string): Optional, and only when the user has said which brand this is. Omit it to let the import match the storefront against the account's brands and ask when it cannot. Use `list_brands` to see what exists.
- `url` (string, required): The product page URL, e.g. https://store.example.com/products/wool-runner

Output parameters:

- `already_imported` (boolean)
- `brand` (object)
- `brand_decision_required` (object)
- `description` (string)
- `image_count` (integer)
- `images` (array)
- `import_failed_reason` (string)
- `import_status` (string)
- `link_url` (string)
- `name` (string)
- `next_step` (string)
- `price` (string)
- `product_id` (string)
- `retried` (boolean)
- `source_url` (string)
- `state` (string)
- `usable_image_count` (integer)
- `video_direction` (object)
- `videos` (array)
- `workbench_url` (string)

### `create_product_from_images` (~562 tokens)

Create a product from photos

Start a new InstantClips product from product photos, for a product
that has no public page to scrape.

Photos arrive one of two ways: `image_urls`, publicly reachable URLs,
or `image_files`, the photos the user attached to the conversation,
for clients that pass attachments to tools (ChatGPT fills it in from
the attachments — do not build it by hand). Either or both, at least
one photo. This endpoint cannot read files from the caller's machine.
Images larger than 8MB are skipped; at
most 9 are used in a render.

With `image_urls` alone the downloads run in the background: poll
\`get_product` until `import_status` is "imported". Attached photos are
downloaded before this call answers, so the product comes back
imported — or failed, with the reason and the way on in `next_step`.

Photos carry no brand identity, so nothing can detect the brand here.
Without `brand_id` the product waits on a brand decision
(`brand_decision_required` on the response and on `get_product`) and
no video direction is drafted until it is settled with
\`set_product_brand` or `create_brand`. Ask the user which brand this
is; do not pick for them.

Prefer `import_product_from_url` when a product page exists — the scrape
also collects the name, description, price and brand identity, which
make for a far better direction draft than images alone.

Direction drafting sends product facts, photos and brand context to
an external AI service when the product is ready and its brand is settled.

This does not spend credits. Only `generate_video` does.


Through this adapter, `image_paths` (files on this machine) replaces `image_urls`; the files are uploaded directly. Send one or the other, not both.

Input parameters:

- `brand_id` (string): Optional, and only when the user has said which brand this product belongs to (from `list_brands`). Omit it and the product waits on a brand decision instead of falling through to the account's defau…
- `creator_note` (string): Optional. A short free-text note to the director: the angle, occasion or message this video should carry.
- `description` (string): Optional. What the product is, in a sentence or two — feeds the direction draft.
- `image_paths` (array): Paths to photos on this machine, up to 9, 8 MB each. This adapter uploads the files itself; use it instead of image_urls for local photos, never with them.
- `image_urls` (array): Publicly reachable image URLs, most representative first.
- `name` (string, required): Product name.

Output parameters:

- `brand` (object)
- `brand_decision_required` (object)
- `description` (string)
- `image_count` (integer)
- `images` (array)
- `import_failed_reason` (string)
- `import_status` (string)
- `link_url` (string)
- `name` (string)
- `next_step` (string)
- `price` (string)
- `product_id` (string)
- `source_url` (string)
- `state` (string)
- `usable_image_count` (integer)
- `video_direction` (object)
- `videos` (array)
- `workbench_url` (string)

### `get_product` (~294 tokens)

Get a product and its video direction

Read a product: what the import found, the current video direction and
settings, and every video generated from it.

Use this to poll after `import_product_from_url` or
\`create_product_from_images`. The product is ready to work with when
\`import_status` is "imported", there is no `brand_decision_required`,
AND `video_direction.drafting` is false. If a brand decision is present
with `drafting: false`, ask the user to choose a brand and resolve it
with `create_brand` or `set_product_brand` before waiting for a direction.
Poll every 20-30 seconds while import or drafting is in progress.

\`import_status` values: "pending" and "importing" mean keep polling;
"imported" means done; "failed" means it did not work and
\`import_failed_reason` says why.

\`video_direction.credit_cost` is what `generate_video` will charge for
the current settings. `duration_seconds`, `ratio`, `resolution` and
\`enable_audio` are those settings; change them with
\`update_video_direction`, not in the direction text.

Once generation has started the direction is locked and
\`video_direction.editable` is false. Editing or redrafting then opens
the next video's draft, and `next_step` says so.

Input parameters:

- `product_id` (string, required): The product's id.

Output parameters:

- `brand` (object)
- `brand_decision_required` (object)
- `credits_remaining` (number)
- `description` (string)
- `image_count` (integer)
- `images` (array)
- `import_failed_reason` (string)
- `import_status` (string)
- `link_url` (string)
- `name` (string)
- `next_step` (string)
- `price` (string)
- `product_id` (string)
- `source_url` (string)
- `state` (string)
- `usable_image_count` (integer)
- `video_direction` (object)
- `videos` (array)
- `workbench_url` (string)

### `create_brand` (~454 tokens)

Create a brand for a product

Create a new brand for a product that is waiting on
\`brand_decision_required`, and attach the product to it.

Use this when the product belongs to a company the account has no brand
for yet — the usual case when someone brings a new store. For a product
imported from a URL the brand's name, voice, target market and keywords
are taken from what the storefront scrape drafted; the user can rename
it with `name`. For a product created from photos nothing was detected
(`detected_brand_name` is null), so `name` is required and `voice`,
\`target_market` and `keywords` should come from the user — ask them how
the brand sounds and who it sells to. Anything you pass overrides the
detected value.

Ask the user before calling this. It consumes one of the plan's brand
slots, and on a plan that has run out this fails with a brand-limit
error — at which point the choices are to attach the product to an
existing brand with `set_product_brand`, to re-point an existing brand
at this identity with `set_product_brand` and `replace_identity: true`,
or to upgrade.

Once this returns, the video direction starts drafting: poll
\`get_product` until `video_direction.drafting` is false.

Direction drafting sends product facts, photos and brand context to
an external AI service when the product is ready and its brand is settled.

This does not spend credits.

Input parameters:

- `keywords` (array): Optional. A few short keywords for the brand's themes and audience — generic enough to survive a different product.
- `name` (string): The brand's name. Optional when a storefront name was detected (it overrides it); required for a product created from photos.
- `product_id` (string, required): The product waiting on a brand decision.
- `target_market` (string): Optional. Who the brand sells to, as "Region, Language" (e.g. "US, English"). Sets the market and spoken language of every video on the brand.
- `voice` (string): Optional. How the brand talks, in a sentence or two — the tone every video direction is drafted in.

Output parameters:

- `brand` (object)
- `brand_decision_required` (object)
- `created_brand` (object)
- `description` (string)
- `image_count` (integer)
- `images` (array)
- `import_failed_reason` (string)
- `import_status` (string)
- `link_url` (string)
- `name` (string)
- `next_step` (string)
- `price` (string)
- `product_id` (string)
- `source_url` (string)
- `state` (string)
- `usable_image_count` (integer)
- `video_direction` (object)
- `videos` (array)
- `workbench_url` (string)

### `set_product_brand` (~362 tokens)

Attach a product to an existing brand

Attach a product waiting on `brand_decision_required` to one of the
account's existing brands. Use `list_brands` to see them.

Only do this when the user has confirmed the product really belongs to
that brand. Attaching a product to an unrelated brand is not a cosmetic
mislabel: every video is drafted in that brand's voice, to its target
market, with its keywords.

By default the brand's existing identity is left untouched. Pass
\`replace_identity: true` to instead overwrite that brand's voice, target
market and keywords with the identity detected on this product — the
"re-point my brand at a different company" move, for an account at its
brand limit. This rewrites a brand every other product on it shares, so
confirm it with the user explicitly first.

Once this returns, the video direction starts drafting: poll
\`get_product` until `video_direction.drafting` is false.

Replacement also applies nonempty detected logo and colors, and can
name an existing Default brand shell. Blank draft fields preserve saved
values. An uploaded logo replaces the attached logo.

Direction drafting sends product facts, photos and brand context to
an external AI service when the product is ready and its brand is settled.

This does not spend credits.

Input parameters:

- `brand_id` (string, required): The brand to attach it to, from `list_brands`.
- `product_id` (string, required): The product waiting on a brand decision.
- `replace_identity` (boolean): Optional, default false. Overwrite the brand's voice, target market and keywords with this product's detected identity. Also applies logo and colors; blank fields are preserved. Affects every product…

Output parameters:

- `brand` (object)
- `brand_decision_required` (object)
- `description` (string)
- `identity_replaced` (object)
- `image_count` (integer)
- `images` (array)
- `import_failed_reason` (string)
- `import_status` (string)
- `link_url` (string)
- `name` (string)
- `next_step` (string)
- `price` (string)
- `product_id` (string)
- `source_url` (string)
- `state` (string)
- `usable_image_count` (integer)
- `video_direction` (object)
- `videos` (array)
- `workbench_url` (string)

### `update_brand` (~225 tokens)

Edit a brand's identity

Edit a brand: `name`, `voice` (how it sounds — a few sentences),
\`target_market` (where it sells, e.g. "US/North America"; it drives the
spoken language) and `keywords` (the themes drafts lean on; the list you
pass replaces the old one). This is the identity every video for the
brand's products is drafted against. Drafts already written keep their
text — `redraft_video_direction` on a product to use the new identity.

Only the fields you pass change. `list_brands` has the ids and the
current values. This does not spend credits.

Input parameters:

- `brand_id` (string, required): The brand's id, from list_brands.
- `keywords` (array): The themes drafts lean on. Replaces the whole list.
- `name` (string): The brand's name.
- `target_market` (string): Free text, e.g. "US/North America" or "Japan".
- `voice` (string): How the brand sounds, in a few sentences.

Output parameters:

- `brand_id` (string)
- `configured` (boolean)
- `is_default` (boolean)
- `keywords` (array)
- `name` (string)
- `next_step` (string)
- `product_count` (integer)
- `target_market` (string|null)
- `voice` (string|null)

### `update_product` (~487 tokens)

Edit a product's facts, link and photos

Edit what a product says about itself. `name`, `description` and
\`price` are the facts the direction draft is written from — fix a
scrape that got them wrong, then `redraft_video_direction` so the next
draft uses them (the response's `next_step` says so when a direction
already exists). `link_url` is the product link posted with the video
and shown on its share page: http(s) only, or empty to clear it.

\`add_image_urls` downloads hosted photos and adds them to the product;
\`add_image_files` does the same for photos the user attached to the
conversation, for clients that pass attachments to tools (ChatGPT
fills it in — do not build it by hand). Up to 9 per call
and 8 MB each; the usable ones join the render's selection while
there is room, as the workbench's "+" tile does, and photos added to
a product whose import failed complete that import. `remove_image_ids`
deletes photos by the image_id `get_product` lists; a removed photo
leaves the selection by itself. Only the fields you pass change;
\`get_product` shows `price` and `link_url` while they are set.

This does not spend credits.


Through this adapter, `add_image_paths` (files on this machine) adds photos; the files are uploaded directly.

Input parameters:

- `add_image_paths` (array): Paths to photos on this machine to add, up to 9, 8 MB each. This adapter uploads the files itself. Send it with product_id alone; other fields go in a separate call.
- `add_image_urls` (array): Hosted image URLs to download and add, in the order they should appear.
- `description` (string): What the product is; the draft reads it. Empty clears it.
- `link_url` (string): The product link posted with the video. http(s) only; empty clears it.
- `name` (string): The product's name.
- `price` (string): Free text as the store shows it, e.g. "$29" or "¥3,980". Empty clears it.
- `product_id` (string, required): The product's id.
- `remove_image_ids` (array): image_id values from get_product's images to delete.

Output parameters:

- `brand` (object)
- `brand_decision_required` (object)
- `description` (string)
- `image_count` (integer)
- `images` (array)
- `import_failed_reason` (string)
- `import_status` (string)
- `link_url` (string)
- `name` (string)
- `next_step` (string)
- `price` (string)
- `product_id` (string)
- `source_url` (string)
- `state` (string)
- `usable_image_count` (integer)
- `video_direction` (object)
- `videos` (array)
- `workbench_url` (string)

### `update_video_direction` (~933 tokens)

Edit the video direction and render settings

Edit the creative direction and render settings for a product's next
video. Only the fields you pass are changed; everything else keeps its
current value. Supplied text replaces the saved text; an empty creative
direction clears it. A target_market change updates the shared brand
and affects future videos for its other products.

\`creative_direction` is the plan the render is built from. It is free
text, but the drafts follow a six-section shape that works well and is
worth preserving when editing:

  Hook: ...
  Content Focus: ...
  Format: ...
  Suggesting Visual Aesthetic: ...
  Execution Guidelines: ...
  Strict Guidelines & Restrictions: ...

Do not invent a direction from nothing when one has not been drafted
yet — call `redraft_video_direction` and edit what comes back. Leaving
it empty is also valid: generation works without a direction.

\`creator_note` is different and smaller: the user's own short note to
the director ("mention it is machine washable", "for Father's Day"). It
is carried through to the render verbatim, so put the user's words in
it, not your paraphrase.

\`selected_image_ids` chooses which of the product's photos the render
uses, in order, by the image_id `get_product` lists under `images`
(usable ones only, at most 9); an empty list restores the
default, the first usable ones. The poll's `selected_image_ids` shows
what would go out now.

\`duration_seconds` is the render length — 15, 20, 25 or 30 — and a
setting, not part of the direction: writing "20 seconds" into the text
changes nothing. Longer costs more; the response's `credit_cost` is
the new price, and the user must hear it before `generate_video` —
\`next_step` states it for you, read after this edit, so quote it in
the same message you ask for their go-ahead in.
Above the plan's ceiling it clamps like resolution (free: 20s).

A target_market change after a direction exists gets a `next_step` in
the response: the direction's wording sets the spoken language, so it
needs a redraft (or…

Input parameters:

- `creative_direction` (string): The full creative plan, max 3000 characters. Pass an empty string to clear it.
- `creator_note` (string): The user's short note to the director, max 1000 characters.
- `duration_seconds` (integer): Render length in seconds. Priced per second, so the response's credit_cost changes with it; a pick above the plan's ceiling becomes that ceiling (free accounts: 20). The direction text never sets the…
- `enable_audio` (boolean): Whether the render has sound.
- `product_id` (string, required): The product's id.
- `ratio` (string): Aspect ratio. 9:16 (vertical) is the default and what social feeds want.
- `resolution` (string): 1080P is available to credit-pack purchasers and eligible tiers; a pick above the account's ceiling becomes that ceiling (the response reports what was actually saved).
- `selected_image_ids` (array): The photos the render uses, in order, by image_id from get_product's images; usable ones only, at most 9. An empty list restores the default (the first usable ones).
- `target_market` (string): Free text, e.g. "US/North America" or "Japan". Drives the spoken language unless one is set explicitly. Saved on the brand, so it carries to later videos.

Output parameters:

- `adjustments` (array)
- `affordable` (boolean)
- `creative_direction` (string)
- `creator_note` (string)
- `credit_cost` (number)
- `draft_error` (string)
- `draft_failed` (boolean)
- `drafting` (boolean)
- `duration_seconds` (integer)
- `editable` (boolean)
- `enable_audio` (boolean)
- `format` (string)
- `format_options` (array)
- `next_step` (string)
- `opened_new_video` (boolean)
- `product_id` (string)
- `ratio` (string)
- `resolution` (string)
- `selected_image_ids` (array)
- `target_market` (string)
- `video_request_id` (string)
- `watermark_expected` (boolean)

### `redraft_video_direction` (~362 tokens)

Draft a new creative direction

Ask InstantClips to draft a fresh creative direction for this product's
next video, using the product's facts, its images and the brand's
identity. Use it to get a first draft, or to try a different angle when
the user does not like the current one.

This OVERWRITES the current direction — including any edits. Confirm with
the user before re-rolling a direction they have already worked on.

If the product's last video has already launched, this opens the next
video's draft (seeded from that video) and drafts into it; the response
says `opened_new_video: true` and carries the new video_request_id.

The draft runs in the background: this returns with `drafting` true, and
you poll `get_product` until `video_direction.drafting` is false (a few
seconds). Rolling a fresh angle is the point, so calling it twice gives
two different drafts, not the same one.

\`next_step` also states what rendering this will cost. The user has to
hear that number before `generate_video`, so say it in the same
message you show them the direction in.

Direction drafting sends product facts, photos and brand context to
an external AI service when the product is ready and its brand is settled.

This does not spend credits.

Input parameters:

- `format` (string): Optional. Pin the angle instead of letting the drafter pick one: a key from video_direction.format_options in get_product (this product's shortlist, or the whole catalogue, each with a one-line summa…
- `product_id` (string, required): The product's id.

Output parameters:

- `affordable` (boolean)
- `creative_direction` (string)
- `creator_note` (string)
- `credit_cost` (number)
- `draft_error` (string)
- `draft_failed` (boolean)
- `drafting` (boolean)
- `duration_seconds` (integer)
- `editable` (boolean)
- `enable_audio` (boolean)
- `format` (string)
- `format_options` (array)
- `next_step` (string)
- `opened_new_video` (boolean)
- `product_id` (string)
- `ratio` (string)
- `resolution` (string)
- `selected_image_ids` (array)
- `target_market` (string)
- `video_request_id` (string)
- `watermark_expected` (boolean)

### `generate_video` (~741 tokens)

Generate the video (spends credits)

Render the video. THIS SPENDS THE USER'S CREDITS.
Product photos, brand identity and direction are sent to external
generation services. Results have public share pages; generation can
trigger account emails, including a first-generation welcome email.

Ask the user before calling this, every time. Tell them the cost first —
\`get_product` reports it as `video_direction.credit_cost`, and the
user's balance as `credits_remaining` — and pass that cost as
\`expected_credit_cost`: if it no longer matches (settings changed, a
resolution was clamped), nothing is charged and the response says the
current cost. Credits are charged at launch, not on completion; a
failed render is refunded automatically.

Show the user the creative direction and let them approve or edit it
before you call this. Do not call it to "see what happens", to retry a
render that is still in progress, or as part of a batch you decided on
your own.

Returns as soon as the render is queued — the video is not ready yet.
Do not answer with a bare "generating" and start polling silently.
Tell the user, in one reply: it is in the queue and takes
5 to 15 minutes depending on queue depth, length and
resolution; `workbench_url` is where they can see what they directed;
and `email_on_completion` (present unless the account takes no mail)
gets a message the moment it is done, so they can go and work on
something else.

Say you will keep checking only if you actually can — if this client
keeps you running long enough to poll, and your session survives the
user walking away. This server is request/response and holds no
monitoring of its own: nothing here will wake you up, and if your
session ends mid-render the video still finishes and the email still
goes. When you cannot promise it, say so, and leave them with the link
and the email as the delivery. They are the reliable path; you are
the convenience.

While you can, poll `get_video` with the returned video_request_id
every 30-60
seconds until its status is "done…

Input parameters:

- `expected_credit_cost` (integer, required): The credit cost you told the user — get_product's video_direction.credit_cost. It must still be the cost: if it has changed, nothing is charged and the response says the new number.
- `product_id` (string, required): The product to render. Its current direction and settings are used as-is.

Output parameters:

- `credits_charged` (number)
- `credits_remaining` (number)
- `email_on_completion` (string)
- `next_step` (string)
- `opened_new_video` (boolean)
- `product_id` (string)
- `queued` (integer)
- `skipped_insufficient_credit` (integer)
- `typical_wait_minutes` (object)
- `videos` (array)
- `workbench_url` (string)

### `get_video` (~441 tokens)

Check a video's render status

Check one video's render.

\`status` values:
  "generating" — still rendering; poll every
           30-60
           seconds.
  "done" — finished; `output_url` is the MP4 and `share_url` is a
           public page to send someone. `watermarked` appears, set to
           true, only when that MP4 carries the InstantClips
           watermark (free accounts) — buying credits switches every
           video on the account to the clean file, nothing is
           re-rendered. When the field is absent there is no
           watermark and nothing to say about one: do not raise the
           subject with a paying customer.
  "failed" — `failed_reason` says why and what to change. The credits
             were refunded automatically. To try again, make the change
             with `update_video_direction` or `redraft_video_direction`
             (either opens the next video's draft), then `generate_video`.
  "insufficient_credit" — never launched; nothing was charged.
  "pending" — not launched yet; call `generate_video`.

\`next_step` says which of those applies right now.

A render takes 5 to 15 minutes, depending on queue depth,
length and resolution. Inside that window the wait is the normal shape
of this and not a fault, so describe it as expected rather than slow.
Past it, it is not: `next_step` switches to what is actually known —
beyond the usual window, still marked rendering, no revised finish
time — and at 45 minutes it says to
stop polling and hand the user to support. Follow `next_step`; it is
the one that knows how long this render has been going.

They do not have to wait with you either — the workbench link shows
the same thing, and `generate_video`'s `email_on_completion` (when the
account takes mail) is written to the moment the video lands.

Input parameters:

- `video_request_id` (string, required): Returned by generate_video, and listed under `videos` in get_product.

Output parameters:

- `duration_seconds` (integer)
- `failed_reason` (string)
- `next_step` (string)
- `output_url` (string)
- `product_id` (string)
- `product_name` (string)
- `script` (string)
- `share_url` (string)
- `status` (string)
- `video_request_id` (string)
- `watermarked` (boolean)
- `workbench_url` (string)

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/ai-instantclips-instantclips/instantclips-mcp#diagnostics

## Score history

- 2026-09-24: 78
- 2026-09-23: 78
- 2026-09-22: 77
- 2026-09-21: 77
- 2026-09-20: 77
- 2026-09-19: 76
- 2026-09-18: 76
- 2026-09-17: 75
- 2026-09-16: 75
- 2026-09-15: 74
- 2026-09-14: 59
- 2026-09-13: 58
- 2026-09-12: 73
- 2026-09-11: 58
- 2026-09-10: 72
- 2026-09-09: 72
- 2026-09-08: 72
- 2026-09-07: 69
- 2026-09-06: 69
- 2026-09-05: 69
- 2026-09-04: 69
- 2026-09-03: 69
- 2026-09-02: 69
- 2026-09-01: 69
- 2026-08-31: 58

## Common questions

### What is the InstantClips MCP server?

InstantClips is an MCP server listed in the public MCP registry as ai.instantclips/instantclips. Create branded vertical video ads from ecommerce product URLs or product photos. This page covers its npm package (instantclips-mcp).

### Is the InstantClips MCP server safe to use?

InstantClips scores 78 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 24 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the InstantClips MCP server expose?

InstantClips exposes 13 tools: list_brands, list_products, import_product_from_url, create_product_from_images, get_product, and 8 more. Their descriptions and schemas cost roughly 5,606 tokens of context every time the server is loaded.

### Is the InstantClips MCP server still maintained?

InstantClips is still listed as active in the MCP registry. We last reached this channel on 24 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the InstantClips MCP server under?

InstantClips declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- npm package: https://www.npmjs.com/package/instantclips-mcp
- Socket report: https://socket.dev/npm/package/instantclips-mcp
- Repository: https://github.com/InstantStudioAI/instantclips-mcp
- Website: https://instantclips.ai/automate/
- Changelog RSS feed: https://verifymcp.io/servers/ai-instantclips-instantclips/instantclips-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-instantclips-instantclips/instantclips-mcp.json
- HTML version of this page: https://verifymcp.io/servers/ai-instantclips-instantclips/instantclips-mcp