MCP server

AI Video Atlas Official

com.aivideoatlas/atlas

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Plan AI video shots: model picks, sourced prompts, prompting guides and real $/s costs.

Working at last checkVerified publisher: aivideoatlas.comAbout 3,781 tokens per request once connected10 tools

Website Source

https://mcp.aivideoatlas.com/mcp

At a glance

Type: MCP server
Publisher: aivideoatlas.com (verified by the MCP Registry)
Status: Working at last check
Tools: 10
Token cost: About 3,781 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http atlas https://mcp.aivideoatlas.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.atlas]
url = "https://mcp.aivideoatlas.com/mcp"

Gemini CLI

{"mcpServers":{"atlas":{"httpUrl":"https://mcp.aivideoatlas.com/mcp"}}}

Cursor

{"mcpServers":{"atlas":{"url":"https://mcp.aivideoatlas.com/mcp"}}}

VS Code

{"servers":{"atlas":{"type":"http","url":"https://mcp.aivideoatlas.com/mcp"}}}

Antigravity

agy mcp add atlas https://mcp.aivideoatlas.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"atlas","server_url":"https://mcp.aivideoatlas.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"atlas","server_url":"https://mcp.aivideoatlas.com/mcp"}

Tools

best_prompt ~218 tokens
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 (ot
find_shot ~400 tokens
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 dialogu
fix_prompt ~424 tokens
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 (
get_guide ~337 tokens
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 mo
get_prices ~177 tokens
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 co
get_workflow ~260 tokens
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 re
plan_shots ~946 tokens
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
recommend_model ~403 tokens
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 mode
refine_shot ~432 tokens
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
whats_new ~184 tokens
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

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