Blender integration through the Model Context Protocol
Nothing to run from here
AI Video Atlas 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.
10
tools declared
—
trust score
remote
at its publisher
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calls last 7d
What it does
Plan AI video shots: model picks, sourced prompts, prompting guides and real $/s costs.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http ai-video-atlas-mcp https://mcp.aivideoatlas.com/mcp
# 2 — ask your agent for something these tools do
# plan_shots, refine_shot, fix_prompt and 7 more
AI Video Atlas costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
AIAll 1 server
aivideoatlas1 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 ai-video-atlas-mcp https://mcp.aivideoatlas.com/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
10 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.
Goal: a usable take on the first generation, so fewer paid generations per shot. First review and rewrite the beat list (see brief_review): Atlas parses briefs with rules, so fix non-shots, missing subjects, placeholder lines and generic coverage before writing prompts. If the user names a model or mode, pass it in model/mode (it is kept for every shot unless the docs rule it out). Returns a GUIDA
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | no | Model the user named (e.g. "Seedance 2.5"). Atlas keeps it for every shot unless the vendor docs rule it out, and then says why. Always pass it when the user names one. |
| mode | string | no | Generation mode the user named. Kept for every shot unless the model cannot do it. |
| force_plan | boolean | no | Return a shot plan even when the request reads as a pricing-only question |
| description | string | yes | What the video should show, in plain words. Several beats are fine. |
| budget_usd | number | no | Optional total budget in USD. |
| style | string | no | Optional look applied to every shot, e.g. "35mm film, warm grade" or "anime". |
| max_per_shot | number | no | Optional maximum USD per shot. |
| clip_seconds | number | no | Seconds per shot (default 5). |
| retries | number | no | Optional retry allowance as a cost multiplier (e.g. 1.5 = budget 50% extra generations for rejected takes). |
Get to a usable take in as few further generations as possible when a shot came out wrong. Pass the prompt you used, the model, the mode and what went wrong in plain words ("feet sliding", "face drifted", "line cut off", "too glossy", "label morphing"), plus optional frame notes. Returns a diagnosis, specific prompt changes (from Atlas craft fixes and a per-model failure-mode library, credited), a
| Parameter | Type | Required | Notes |
|---|---|---|---|
| prompt | string | yes | The exact prompt you used. |
| model | string | no | Model/endpoint used, e.g. "Seedance 2.5", "Veo 3.1 Fast". |
| mode | string | no | Mode used: text-to-video, image-to-video, reference-to-video, start/end frame, video-to-video, lip sync. |
| issue | string | yes | What went wrong, in plain words. |
| seconds | number | no | Clip length used (helps check spoken-line fit). |
| frame_url | string | no | Optional link to a bad frame (Atlas does not open it; describe it in frame_notes). |
| frame_notes | string | no | Optional: what you see in the bad frames. |
Alias of refine_shot. Fix a generated shot that came out wrong. Pass the prompt you used, the model, the mode and what went wrong in plain words ("feet sliding", "face drifted", "line cut off", "too glossy", "label morphing"), plus optional frame notes. Returns a diagnosis, specific prompt changes (from Atlas craft fixes and a per-model failure-mode library, credited), a revised prompt, and an esc
| Parameter | Type | Required | Notes |
|---|---|---|---|
| prompt | string | yes | The exact prompt you used. |
| model | string | no | Model/endpoint used, e.g. "Seedance 2.5", "Veo 3.1 Fast". |
| mode | string | no | Mode used: text-to-video, image-to-video, reference-to-video, start/end frame, video-to-video, lip sync. |
| issue | string | yes | What went wrong, in plain words. |
| seconds | number | no | Clip length used (helps check spoken-line fit). |
| frame_url | string | no | Optional link to a bad frame (Atlas does not open it; describe it in frame_notes). |
| frame_notes | string | no | Optional: what you see in the bad frames. |
Search AI Video Atlas's library of 106 sourced AI video shots (real prompts that creators posted, with the model used, an estimated cost and a link to the original). Use this FIRST when the user describes a shot, scene, style or job ("product ad with a rotating can", "anime fight", "lip sync dialogue", "drone over mountains"). Filters: shot_type (ads, music, shorts, characters, product, cinematic,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | What the shot should look like or achieve, in plain words. |
| shot_type | string | no | — |
| model | string | no | Only shots made with this model family (strict; comparisons that merely include it are excluded), e.g. kling, veo, seedance, hailuo, runway, luma, wan, ltx, sora |
| max_cost_usd | number | no | Max estimated cost per clip in USD |
| limit | integer | no | — |
Get the full, sourced prompt that best matches a shot (free text or a slug from find_shot), optionally for a target model. Returns the exact prompt text as the creator posted it, the creator credit and source, the model it was made with, and factual adaptation notes when the target model differs (other Atlas shots on the target model and its current supported price). Atlas never claims how a promp
| Parameter | Type | Required | Notes |
|---|---|---|---|
| shot | string | yes | A slug from find_shot or a plain description of the shot. |
| model | string | no | Target model family (optional). |
Recommend which AI video model to use for a shot, with the evidence: how many sourced Atlas shots of that kind were made with each model, the cheapest supported vendor-stated $/s, and an estimated total for the clip length and number of clips. Pass budget_usd (total) and/or max_per_shot to drop models whose estimate exceeds it; over-budget models are listed with their cost. Each row includes the g
| Parameter | Type | Required | Notes |
|---|---|---|---|
| shot | string | yes | — |
| mode | string | no | Required generation mode; detected from the shot text when omitted |
| budget_usd | number | no | Total budget for all clips |
| max_per_shot | number | no | Max USD per clip |
| clip_seconds | number | no | — |
| clips | integer | no | — |
Vendor-stated AI video prices per second from AI Video Atlas's tracker, each with its source URL and the date we checked it. Filter by model family or host. Legacy, deprecated and discontinued rows are excluded unless include_legacy=true (then they are flagged by status). Use for "how much does X cost", "cheapest model", or before quoting any cost.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | no | — |
| host | string | no | — |
| include_legacy | boolean | no | — |
| sort | string | no | — |
How-to workflows, tools and model guides for AI video, grouped by job: consistent-character (Keep a character consistent), lip-sync (Lip sync & talking heads), product-ad (Product ads & UGC), camera (Direct the camera), long (Longer & multi-shot videos), i2v (Animate a still image), edit (Edit or restyle footage), upscale (Upscale & smooth), local (Run it on your own GPU), models (Models & hosts).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| job | string | no | — |
| query | string | no | — |
| slug | string | no | — |
| limit | integer | no | — |
Prompting guidance from AI Video Atlas, sourced from vendor prompting docs (Google, BytePlus, Runway, Luma, MiniMax, Alibaba, LTX, xAI, fal) plus proven Atlas examples. Pass model (kling, veo, seedance, runway, luma, hailuo, wan, ltx, grok-imagine…) for prompt structure, camera language, what the model responds to, things to avoid and known limits; or topic (shot-vocabulary, tagging, consistent-ch
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model | string | no | Model family, e.g. kling, veo, seedance, runway, luma, hailuo, wan, ltx, grok-imagine |
| topic | string | no | — |
| kind | string | no | Optional filter, e.g. camera or avoid |
What is new in AI Video Atlas: the newest sourced shots and guides added in the last N days (default 7), newest first, with X like counts where we have them ("new" otherwise). Use for "what's new in AI video", weekly roundups, or trend questions. For the full weekly digest (new models, price changes, new shots, legacy prices) read https://aivideoatlas.com/digest/latest.json.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| days | integer | no | — |
| kind | string | no | — |
| limit | integer | no | — |
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 AI Video Atlas or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
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.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
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.
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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 AI Video Atlas 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.