INDIVIDUAL MCP TOOL

plan_shots

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.

aivideoatlas.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.aivideoatlas.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for plan_shots and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

aivideoatlas.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.ai-video-atlas]
url = "https://mcp.aivideoatlas.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "ai-video-atlas": {
      "type": "http",
      "url": "https://mcp.aivideoatlas.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-video-atlas
Remote MCP URL: https://mcp.aivideoatlas.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "ai-video-atlas",
  "transport": "streamable-http",
  "url": "https://mcp.aivideoatlas.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

find_shot — Search AI Video Atlas's library of 107 sourced AI video shots (real prompts that creators posted, with the model used, an estimated cost and a link to the original).
best_prompt — Get the full, sourced prompt that best matches a shot (free text or a slug from find_shot), optionally for a target model.
recommend_model — 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.
get_prices — Vendor-stated AI video prices per second from AI Video Atlas's tracker, each with its source URL and the date we checked it.
get_workflow — 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).
get_guide — Prompting guidance from AI Video Atlas, sourced from vendor prompting docs (Google, BytePlus, Runway, Luma, MiniMax, Alibaba, LTX, xAI, fal) plus proven Atlas examples.
whats_new — 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).