
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
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.
Installation
In SourceWeft
- Open Seedance Prompts Mcp in the dashboard and add it to a workspace.
- 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.
Claude Desktop: claude_desktop_config.json. Cursor: .cursor/mcp.json. Any other stdio MCP
client takes the same two lines.
Tools
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.
Example
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
0Version history
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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