Conversions across 221 color spaces, tested against cited sources: CSS strings, gamut, LUTs
Nothing to run from here
MakeViral is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
93/100
tool-list score
14
tools declared
remote
at its publisher
—
calls last 7d
What it does
Find the newest viral AI video trend templates and make them from your photos or a prompt.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http makeviral-mcp https://www.makeviral.ai/mcp
# 2 — ask your agent for something these tools do
# search_templates, get_template, run_template and 11 more
MakeViral costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
MAAll 1 server
makeviral1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http makeviral-mcp https://www.makeviral.ai/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
14 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Find MakeViral trend templates: viral AI video and photo trends (knight cat, hotel lobby walk, Halloween costumes, dance reels...) that turn the user's own photos of themselves, their partner, friends or pets into a short video or photo. Use it when the user wants a trend video, asks what they can make from a photo, or names a TikTok or Instagram trend. Results are sorted by popularity and show an
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | Words for the trend or idea, e.g. 'knight cat', 'halloween couple', 'dance' |
| subject | string | no | Who or what is in the photos (product = a brand ad from a product photo and a logo) |
| output | string | no | — |
| season | string | no | e.g. 'halloween' |
| limit | integer | no | — |
Show one MakeViral template: what it makes, its versions (for example solo, with a friend, with a pet), the photos each version needs in order, quality options, optional 'make it yours' fields, the price in credits, the user's credit balance when signed in, and an example clip. Use it when the user names or picks one template. Call it before run_template so you pass the right version and photos, a
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | Template slug from search_templates, e.g. 'knight-cat-ai-video' |
Make a MakeViral trend video or photo from the user's photos. It spends the version's credits from the user's MakeViral account (a failed run gives them all back). A photo is usually ready in this call and the result has the link. A video takes a few minutes: then call get_run with wait true until it is ready, and give the user the link. Before calling: 1) pick the template and version with get_te
| Parameter | Type | Required | Notes |
|---|---|---|---|
| template | string | yes | Template slug, e.g. 'knight-cat-ai-video' |
| version | string | no | Version id from get_template. Default 'main'. |
| quality | string | no | Quality option id from get_template. Default: the template's default option (listed first). |
| photos | array | no | The user's photos attached in the chat, in the version's photo order |
| photoUrls | array | no | Public https links to the photos (JPEG, PNG or WebP), in the version's photo order |
| uploadId | string | no | The id from create_upload_link, after the user added the photos there |
| fields | object | no | Optional 'make it yours' values by field id (get_template lists them) |
| object | object | no | Knight sword swap only: the object one knight hands the other |
| photosConsent | boolean | yes | true only after the user confirmed that everyone in the photos is the user or agreed to it, and that no one is a child |
| requestId | string | no | Optional id (8-64 letters, digits, - or _). The same id never charges twice. Without it, the same request within 10 minutes returns the first run; pass a new id to make it again with the same photos. |
Check a MakeViral run started with run_template: its status, minutes left, and the finished video or photo link when it is ready. With wait true the call waits up to 40 seconds for the run to finish, so you can wait for the result in the same answer and then give the user the link.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| runId | string | yes | The run id from run_template, e.g. 'tr_ag...' |
| wait | boolean | no | Wait up to 40 seconds for the run to finish before answering. Default false. |
List the user's latest MakeViral template runs (newest first) with their status and result links.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | integer | no | — |
List the AI models of MakeViral Create (makeviral.ai/create): image models (Nano Banana, GPT Image, Seedream, Flux...) and video models (Seedance, Kling, Veo, Wan, Grok Imagine, MiniMax...) with what each takes and its lowest price in MakeViral credits. Use it when the user asks MakeViral for an image or a video from their own idea (not a trend template), wants a specific model such as Kling, Veo
| Parameter | Type | Required | Notes |
|---|---|---|---|
| kind | string | no | Only image models or only video models |
Show one MakeViral Create model: the shapes, sizes and lengths it makes, the photos, clips and sounds it takes, special inputs (end frame, multi-shot, elements, motion style), and the price in credits for every size and length. With resolution, durationSec and count it also gives the exact price of that choice, so you can tell the user before create_image or create_video.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | yes | Model id from list_models |
| resolution | string | no | Optional, to price one choice: e.g. '2K' (image) or '720p' (video) |
| durationSec | integer | no | Optional, video length to price |
| count | integer | no | Optional, how many to price |
| referencePhotos | integer | no | Optional, video reference photos (one model charges for more than 5) |
| clipSeconds | number | no | Optional, seconds of a reference clip (they add to the price) |
Make AI images from the user's prompt with a chosen MakeViral Create model, from text or from the user's photos (edit a photo, put a person in a new scene, combine photos). It spends credits from the user's MakeViral account (a failed image gives them back) and usually returns the finished image link in this call. Before calling: 1) pick the model (get_model gives its sizes and prices), 2) tell th
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | yes | Image model id (list_models). nano-banana-2 is a good default. |
| prompt | string | yes | What the image shows, in the user's words, made clear and specific |
| photos | array | no | The user's photos attached in the chat (references to edit or follow) |
| photoUrls | array | no | Public https links to photos (JPEG, PNG or WebP) |
| aspect | string | no | Shape. Default 9:16 (vertical, for TikTok and Reels). |
| resolution | string | no | Size. Default: the model's smallest (1K). |
| count | integer | no | How many images (each one is charged). Default 1. |
| transparentBackground | boolean | no | GPT Image only, text only: a transparent background |
| photosConsent | boolean | no | Needed with photos: true only after the user confirmed everyone in them is the user or agreed, and no one is a child |
| requestId | string | no | Optional id (8-64 letters, digits, - or _). The same id never charges twice. |
Make an AI video from the user's prompt with a chosen MakeViral Create model (Seedance, Kling, Veo, Wan, Grok Imagine, MiniMax...): from text, from a start frame photo (and an end frame on some models), or from references (photos, clips and sounds), with Kling multi-shot and elements. It spends credits from the user's MakeViral account (a failed video gives them back). A video takes a few minutes:
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | yes | Video model id (list_models). seedance-2-5 is a good default. |
| prompt | string | no | What happens in the video. With references, name them as get_model says (e.g. [Image 1]). |
| startFrame | object | no | The first frame: a photo the user attached in the chat |
| startFrameUrl | string | no | The first frame as a public https photo link |
| endFrame | object | no | The last frame (models with an end frame), with a start frame |
| endFrameUrl | string | no | The last frame as a public https photo link |
| referencePhotos | array | no | Reference photos attached in the chat (people, products, a style). Never with frames. |
| referencePhotoUrls | array | no | Reference photos as public https links |
| referenceClips | array | no | Reference clips (MP4 or MOV) as files, where the chat can attach them |
| referenceClipUrls | array | no | Reference clips as public https links to an MP4 or MOV file |
| referenceSounds | array | no | Reference sounds (MP3 or WAV) attached in the chat |
| referenceSoundUrls | array | no | Reference sounds as public https links |
| clipMode | string | no | Kling Omni with a clip: 'edit' changes the clip itself (default), 'reference' makes a new video from it |
| keepClipSound | boolean | no | With a clip: put the clip's own sound on the result |
| shots | array | no | Kling multi-shot: each shot's prompt and length; they add up to the video length |
| autoShots | boolean | no | Kling Omni: the model plans the shots itself |
| elements | array | no | Kling 3.0 elements: people or things from 2-4 photos each |
| elementPhotos | array | no | The element photos attached in the chat, element by element in order |
| aspect | string | no | Shape. Default 9:16 (vertical). With a start frame most models follow the photo's shape. |
| resolution | string | no | Size. Default: the model's smallest. |
Check images or videos started with create_image or create_video: status, minutes left, and the finished link when ready. With wait true the call waits up to 40 seconds for them to finish, so you can wait for the result in the same answer and then give the user the link.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ids | array | no | Ids from create_image or create_video, e.g. 'vid_...' |
| id | string | no | One id (instead of ids) |
| wait | boolean | no | Wait up to 40 seconds for them to finish. Default false. |
List the user's latest MakeViral Create images and videos (newest first) with their status and links. Template runs are in list_runs.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | integer | no | — |
| kind | string | no | — |
Show the signed-in MakeViral account: its first name and credit balance. Every run uses credits, so use it before a run when the price might be more than the balance.
No parameter schema on file.
Make a one-hour link where the user adds the photos for a template on makeviral.ai (on any device). Use it when the user cannot attach photos in this chat. Give the user the link, wait until they say they are done, then call run_template with the returned uploadId.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| template | string | yes | Template slug |
| version | string | no | Version id. Default 'main'. |
Send MakeViral a trend or idea that has no template yet, so the team can add it. Use it when search_templates finds nothing that fits what the user wants, and only after the user agrees. Include the TikTok or Instagram link of the trend when the user has one.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| idea | string | yes | The trend or idea in one or two sentences |
| link | string | no | Optional https link to an example of the trend |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install MakeViral or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATool-list grade · score 93 / 100
Release 1.0.0 · scanned 30 Oct 2026
Graded from the tools this server lists, not from its source code.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score93
Findings0 threat · 0 capability
Capabilitymoderate
Coveragemanifest
Verificationnot in this report
Surface digest4a9534c9a88bb7652a23748b10f3cc8d38ff6155f320e13978f865a7e3999bbb
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
Tool surfaceread
Implementation sourcenot available
Package metadatanot available
Live transportnot available
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| search_templates | no tags | |
| get_template | no tags | |
| run_template | external-sink | external-sink: declares readOnlyHint: false, destructiveHint: true, openWorldHint: true |
| get_run | no tags | |
| list_runs | no tags | |
| list_models | no tags | |
| get_model | no tags | |
| create_image | external-sink | external-sink: declares readOnlyHint: false, destructiveHint: true, openWorldHint: true |
| create_video | external-sink | external-sink: declares readOnlyHint: false, destructiveHint: true, openWorldHint: true |
| get_creation | no tags | |
| list_creations | no tags | |
| get_account | no tags | |
| create_upload_link | state-write | state-write: declares readOnlyHint: false |
| suggest_template | state-write | state-write: declares readOnlyHint: false |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digest4a9534c9a88bb765
Scanned2026-10-30
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish MakeViral can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.