AI Video Atlas MCP Server
by aivideoatlascom.aivideoatlas/atlasv1.0.0
Plan AI video shots: model picks, sourced prompts, prompting guides and real $/s costs.
context tax
~3,542 tok/turn10 tools
security
pending
cold start
hosted
freshness
pending
Our reading of AI Video Atlas, from the data
AI Video Atlas is a images, video & audio MCP server from aivideoatlas, listed in the official MCP Registry.
Its 10 tools add about 3,544 tokens to every model turn, heavier than the images, video & audio median of 1,948 tokens across 102 measured servers (measured 2026-10-19).
With 0 GitHub stars it ranks #771 of 2,354 images, video & audio servers we index.
It runs as a hosted endpoint, so there is nothing to install.
Install AI Video Atlas MCP server
Install in Claude Code
claude mcp add --transport http aivideoatlas https://mcp.aivideoatlas.com/mcpInstall in Cursor
{
"mcpServers": {
"aivideoatlas": {
"url": "https://mcp.aivideoatlas.com/mcp"
}
}
}Install in Claude Desktop
{
"mcpServers": {
"aivideoatlas": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.aivideoatlas.com/mcp"
]
}
}
}Or add it as a custom connector under Settings → Connectors. The config above bridges via mcp-remote.
Install in VS Code
{
"servers": {
"aivideoatlas": {
"type": "http",
"url": "https://mcp.aivideoatlas.com/mcp"
}
}
}Install in Windsurf
{
"mcpServers": {
"aivideoatlas": {
"serverUrl": "https://mcp.aivideoatlas.com/mcp"
}
}
}Remote endpoints
- streamable-http
https://mcp.aivideoatlas.com/mcp
Context tax
Connecting this server adds ~3,544 tokens of tool definitions to every model turn (moderate, 10 tools). Measured 2026-10-19 via its hosted endpoint; o200k tokenizer, worst case for clients that load all tools up front. How we measure
| Model | Per 1,000 turns | With prompt caching |
|---|---|---|
| Claude Opus 5.5 | $14.18 | $0.709 |
| Claude Sonnet 5.5 | $7.09 | $0.709 |
| Claude Haiku 5.5 | $0.354 | — |
Input prices as of 2026-10-06. Excludes your own prompt and output.
Tools (10)
plan_shots1,016 tokGoal: 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 GUIDANCE PACKAGE, not final prompts: you (the agent) write each full video prompt yourself from it. Per shot: model + mode decision with reasons, the per-model/per-mode prompt structure and tips, 2-3 credi
refine_shot346 tokGet 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 revised prompt, and an escalation ladder: same-model fixes first (prompt, seed/variation, references, duration), then a mode change, then a model switch only as a last resort with the consistency cos
fix_prompt340 tokAlias 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 escalation ladder: same-model fixes first (prompt, seed/variation, references, duration), then a mode change, then a model switch only as a last resort with the consistency cost stated. Adapt the revised
find_shot338 tokSearch 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, lipsync, anime), model (e.g. kling, veo, seedance), max_cost_usd (estimated cost of the clip; when the prompt states no length we use a 5-second clip). Returns prompt excerpts; call best_prompt with
recommend_model319 tokRecommend 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 generation modes the vendor docs confirm (t2v, i2v, reference-to-video, start/end, v2v, lip sync; unknown where docs do not say). Legacy, deprecated and discontinued models are never recommended. Filte
get_guide301 tokPrompting 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-characters, i2v-vs-r2v, setup-playbooks). Every item carries its source URL; items marked atlas-editorial are our summary, not a vendor claim. Call with no arguments to list what exists. Use before writ
get_workflow228 tokHow-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). Pass job for a curated list, query for free text (e.g. "comfyui lipsync", "upscale to 4k"), or slug for one item in full. Returns sources, creators, license and price as stated.
best_prompt159 tokGet 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 prompt will perform on a model it was not made with; treat adaptation notes as guidance.
whats_new159 tokWhat 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.
get_prices139 tokVendor-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.
Freshness
Not enough public signals yet to judge maintenance.
Last commit (default branch)
2026-10-11 · 7d ago · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
2026-10-11 · 7d ago · official registry · v1.0.0
How it compares in Images, Video & Audio
Against the most-starred images, video & audio servers we index. Token cost is per model turn, measured from each server's live tool list.
| Server | Stars | Tools | Tokens / turn | Freshness | Runs |
|---|---|---|---|---|---|
| AI Video Atlas (this) | 0 | 10 | 3,542 | — | hosted |
| Screenpipe | 21,982 | — | not measured | Active | — |
| screenpipe | 21,982 | — | not measured | Active | local |
| FunASR | 20,748 | — | not measured | Active | local |
| Agent-Native Analytics | 7,433 | — | not measured | Active | hosted |
| Remove AI Watermarks | 6,054 | — | not measured | — | local |
FAQ
›How do I install the AI Video Atlas MCP server in Claude Code?
Run: claude mcp add --transport http aivideoatlas https://mcp.aivideoatlas.com/mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does AI Video Atlas require an API key?
No required environment variables are declared in its published metadata.
›Can I use AI Video Atlas as a remote (hosted) MCP server?
Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.
›Is AI Video Atlas in the official MCP registry?
Yes, as com.aivideoatlas/atlas.
›How many tokens does AI Video Atlas add to my context?
Its tool definitions total about 3,542 tokens, resent on every turn.
Sources and method
- Official MCP Registry entry
- updated 2026-10-11
- GitHub repository
- fetched 2026-10-19
- Tool list (tools/list), measured by us
- 2026-10-19
- Last checked against all sources
- 2026-10-19
The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.
Alternatives to AI Video Atlas
Other images, video & audio MCP servers.