Seedance Prompts Mcp

io.github.hanshs474Published by GitHub account hanshs474v1.0.1Updated Oct 27, 2026

Search, audit and compose AI video prompts — 150 of them, each rendered into a real video

The publisher's own server: Kavel Mcp

VerifiedSTDIODesktop onlyKnowledge & MemoryMedia & Design

Overview

AI-generated overview

A local MCP server that lets an assistant search, read, audit and compose AI video prompts from a bundled set of 150 rendered Seedance prompts.

What you can do
  • Search 150 bundled video prompts by free text in English or Japanese, filtered by category or reference-image use
  • Read a prompt's full English and Japanese text, its example video link and where to run it
  • List the ten prompt categories with their counts
  • Audit a draft prompt against seven elements measured across the rendered set and get a real prompt to copy phrasing from
  • Compose a new prompt in the bracket format from those seven elements plus timeline beats
When to use it
Useful when writing or reviewing prompts for AI video generation, especially Seedance, and you want examples that were actually rendered rather than untested text. Also handy for checking which elements a draft leaves unspecified.
Requirements
Node.js 18 or later, run locally via npx; a Python build is available on PyPI for uvx. No API key, no dependencies and no network access at runtime, since the prompt set is bundled.
Before you install
Read-only: it searches, audits and composes text and does not generate video. Example video links point to a third-party Japanese AI video site, and running a prompt there is a separate paid service outside this server.

Installation

In SourceWeft

  1. Open Seedance Prompts Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Seedance Prompts MCP

150 AI video prompts that were each actually rendered into a video. Search them, read the full text in English and Japanese, watch the clip the prompt produced, audit your own draft against what the rendered prompts specify, or compose a new one — all from your MCP client.

Most "prompt library" packages ship prompts nobody ran, so you find out what a prompt does only after you spend a generation on it. Here the clip came first: every entry links to the video that this exact text produced, and the audit tool measures your draft against all 150 of them rather than against someone's opinion of good prompting.

Add it to your client with the two lines below, then ask it to find you a prompt.

Install

Node 18+. No dependencies, no API key, no network access at runtime — the prompt set is bundled.

json
{  "mcpServers": {    "seedance-prompts": {      "command": "npx",      "args": ["-y", "seedance-prompts-mcp"]    }  }}

Claude Desktop: claude_desktop_config.json. Cursor: .cursor/mcp.json. Any other stdio MCP client takes the same two lines.

Tools

ToolWhat it does
search_promptsFree-text search over 150 prompts (English or Japanese), filter by category or by whether the prompt expects a reference image.
get_promptFull English + Japanese prompt text, the example video URL, and where to run it.
list_categoriesThe ten categories and how many prompts each holds.
check_promptAudits a draft against the seven elements measured across all 150 rendered prompts — style, scene, subject, camera, lighting, sound, timeline. Names what is missing, why it matters, and hands you a real prompt to copy from.
build_promptComposes those seven elements plus timeline beats into the bracket format the rendered prompts use, and tells you which fields you left to the model.

Why the audit is worth running

The seven elements are not a style guide someone invented — they are counted over the bundled set at load time. Across the 150 rendered prompts, camera work is specified in half of them and audio in far fewer: those two are where drafts most often leave the result to chance. Seedance 2 generates audio together with the video, so an unspecified soundtrack is a decision you handed over rather than a field you skipped.

check_prompt("A woman turns around in a neon alley at night")→ 2/7 · missing: camera work, lighting, sound, timeline …  each with the reason it matters and a rendered prompt to copy the phrasing from

Example

search_prompts({ query: "product commercial", limit: 3 })get_prompt({ slug: "perfume-product-advertisement-generation-prompt-for-seedance-2-0" })→ prompt_en, prompt_ja, example_video (mp4), source

Where the prompts come from

They are the public prompt library of Emaki, a Japanese AI video site running Seedance 2 and Seedance 2.5. Each entry there has the prompt, the settings and the resulting clip. 32 of the 150 are image-to-video prompts that show how to address multiple reference images (@Image1, @Image2) — the part that is hardest to guess.

Pick a prompt and run it in the browser: text to video · image to video · Seedance 2.5 (up to 30 seconds with audio in one pass).

License

MIT. The prompt texts are published by Emaki for reuse; the example videos stay on Emaki's CDN.

Python build

The same server for uvx users lives on PyPI as seedance-prompts-mcp — same five tools, same bundled prompts, standard library only. Source is in python/; the prompt data is copied from src/prompts.json at publish time so the two builds cannot drift apart.

Source: README.md at commit 05917c3

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.1LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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