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OceanToken Media

通过 OceanToken MCP 工具检索模型、预估费用,生成或编辑图片、文生视频、图生视频、语音合成与音频转写,再把结果下载到项目目录并汇报所用模型与花费。

oceantoken
热度 7.64
最近更新 2026-09-30 16:18:43
分类:创作依赖:MCP 服务 / 第三方 API / 代码执行 / 读写文件应用场景:图像生成 / 视频编辑 / 品牌素材 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add oceantoken-media
Metadata
name
oceantoken-media
description
Create images, video, voice-overs and subtitles with OceanToken models and save them into the project. Use when the user wants a generated or edited image (hero, illustration, icon, product shot, background, a change to an existing picture), a video clip (from text, or animating an image), narration / text-to-speech, or a transcript or subtitles, and the OceanToken tools are connected. Also for Chinese requests such as 生成图片、做图、改图、海报、生成视频、图生视频、配音、语音合成、朗读、字幕、转写.
metadata
{"openclaw":{"homepage":"https://oceantoken.ai","requires":{"bins":["curl"]}}}

Images, video and audio with OceanToken

Every generation spends the user's OceanToken balance. Work like a producer on a budget: settle the brief, price it, generate once well, save the result, report.

If the host also has a built-in image tool, use OceanToken when the user asks for OceanToken or a specific model, wants several options or a batch, needs video, audio or subtitles, or wants the cost up front.

Connect first

These steps use the OceanToken MCP tools (search_models, estimate_cost, generate_image, ...). If they are not available, the server is not connected yet. It is https://mcp.oceantoken.ai/mcp (streamable HTTP) with an OAuth sign-in. In OpenClaw:

openclaw mcp set oceantoken '{"url":"https://mcp.oceantoken.ai/mcp","transport":"streamable-http","auth":"oauth"}'
openclaw mcp login oceantoken

For other hosts see https://github.com/NextFormAI/oceantoken-plugins#install.

1. Settle the brief

Know before generating: what the asset is for, where the file goes, its shape (aspect ratio, pixel size, duration), and the look. Read the project first (existing assets, design tokens, the <img>/CSS that will hold it) so you ask the user only what the code cannot tell you.

2. Pick the model

  • search_models with type = image, video, speech or transcription. featured models are OceanToken's directly served defaults; sort="price" finds cheap ones. Never invent a model id.
  • Call get_model before using non-default options: it lists the sizes, aspect ratios, resolutions, durations, audio and first/last-frame support the model really accepts. Sending an option the model lacks fails the request.
  • Rough guide (confirm with search): text-heavy or precise edits favour GPT Image; illustration and vector styles favour Recraft; photoreal and product shots favour Seedream or Gemini image models; video: Seedance is the value pick, Veo and Sora for top quality.

3. Price it, and say the price

Call estimate_cost for any video, any batch (n > 1), 4K images and long speech, and tell the user the figure and its confidence. Ask before spending more than about $2 unless the user already agreed to a budget. When they gave a budget, pass it as max_cost_usd: the tool then refuses anything over it before spending. Never loop regenerations without telling them: each attempt costs money.

4. Generate

  • Image: generate_image(model, prompt, size, quality, n). A good prompt names subject, setting, composition, lighting, style and mood. Few models render text reliably: leave text out of the image and overlay it in HTML/CSS unless the user wants it baked in (then quote the exact words).
  • Edit / restyle / keep a character consistent: pass the source images in reference_image_urls. Local files go through upload_file first (small files as content_base64, big ones with the returned curl command).
  • Video: create_video returns a job_id; call get_job(job_id, wait_seconds=50) until status is completed (usually 1-5 minutes). To animate a still, generate or upload the image and pass it as first_frame_url; add last_frame_url to control the ending. Keep prompts about motion and camera ("slow dolly-in, waves roll left to right").
  • Voice-over: generate_speech(model, text, voice); instructions steers tone on models that support it.
  • Subtitles / transcript: transcribe_audio(model, audio_url, response_format="srt") (or "vtt", or "verbose_json" for timestamps).

If generate_image answers in_progress with a job_id, the model is slow: poll get_job the same way.

5. Save, check, report

  • Download at once; links expire in about 24 hours: curl -L -o public/hero.png "<url>". Use the path and name the code expects, and ask before overwriting an existing file.
  • Look at the preview (image tools return one) before wiring the file in. If it is off, change the prompt specifically ("camera lower, warmer light") rather than re-rolling blindly.
  • Wire it in with the right dimensions and alt text.
  • Tell the user: what was made, which model, what it cost (cost_usd), where it was saved.

Errors

  • Balance too low: the tool says so; get_account shows the balance. The user adds credit in the OceanToken console. Offer a cheaper model as the alternative.
  • Parameter rejected: re-read get_model and use a listed value.
  • Failed video jobs are not charged; the hold is released automatically.
  • Reconnect prompt: the user's OceanToken sign-in or key was revoked; they need to reconnect the plugin.