otherapi_key

BytePlus Ark

BytePlus Ark provides regional generative AI model APIs, including asynchronous video generation task creation, status retrieval, listing, cancellation, and deletion.

Verdict

BytePlus Ark generates videos from text or image prompts through an asynchronous API. When you @mention it in a Project, your team can queue video tasks, check their status, retrieve output URLs, and cancel or delete jobs that are no longer needed. This is useful for marketing teams prototyping ad concepts, product managers mocking up feature demos, or content creators exploring visual ideas without leaving the conversation. Tasks are billable and processing times vary by model—expect to poll for completion rather than instant results.

Common use cases

  • Prototype ad concepts from brief descriptions
  • Generate demo videos for feature pitches
  • Explore visual ideas during brainstorms
  • Mock up social content variations quickly
  • Review task status across multiple jobs

Integration

Vendor
BytePlus Ark
Category
other
Auth
API_KEY
Tools
4
Composio slug
byte_plus_ark

Tools

  • Cancel or Delete Video Task
    destructive

    Irreversibly cancel a video generation task when it is queued, or permanently delete its task record when it is terminal. BytePlus Ark chooses the effect from the task's current status; the caller cannot select cancel versus delete. Check t

  • Create Video Task

    Start a potentially billable asynchronous video generation task and return its task ID. Model capabilities and optional parameter support vary. A callback URL, if supplied, may receive task-status POSTs.

  • Get Video Task

    Retrieve one video generation task's status, failure details, and generated output URLs by task ID.

  • List Video Tasks

    Return one page of video generation tasks, optionally filtered by status, task IDs, model, or service tier.

Setup

Setup guide

  1. 11. Open your Switchy workspace settings and navigate to the Integrations page. 2. Find BytePlus Ark in the MCP directory and click Connect. 3. You'll be prompted to paste an API key—generate one from your BytePlus Ark console under API Credentials or Access Keys. 4. Copy the key and paste it into the Switchy dialog, then click Authorize. 5. Switchy confirms the connection and shows BytePlus Ark as active in your integrations list. 6. Open any Project, type '@BytePlus Ark create a video task with prompt: a cat riding a skateboard' and send the message. 7. The MCP returns a task ID; use '@BytePlus Ark get video task [task_id]' to poll for completion and retrieve the output URL once the status is terminal.

What teammates see: by default, memories from BytePlus Ark are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.

Works well with

Top models

Compatibility data appears once enough Projects have used this MCP together with a given model.

How Switchy teams use it

Not enough Projects yet to publish anonymised usage stats (we require ≥ 50 Projects per week).

Starter prompts

Generate Product Demo

@BytePlus Ark create a video task with the prompt 'a smartphone app interface showing real-time collaboration between three users, clean modern design, 10 seconds'.

Check Task Progress

@BytePlus Ark get the video task with ID [paste_task_id_here] and show me the status and any generated URLs.

List Recent Jobs

@BytePlus Ark list video tasks from the last 24 hours, filtered to show only completed tasks.

Cancel Queued Task

@BytePlus Ark cancel the video task with ID [paste_task_id_here] because we changed direction on the concept.

Generate Social Clip

@BytePlus Ark create a video task with the prompt 'a coffee cup steaming on a wooden desk, morning sunlight, cozy atmosphere, 5 seconds' and let me know when it's ready.

Example outputs

Illustrative - representative of the model's voice and quality, not literal recordings.

Prompt

@BytePlus Ark list all video generation tasks from the last 24 hours that are still in progress or queued

Output

Found 7 active video tasks: 3 queued (task IDs vt_8x2k9, vt_9m4p1, vt_7n3q5) and 4 processing (vt_6j8r2, vt_5k1w9, vt_4h7t3, vt_3g2m8). The oldest queued task was submitted 18 minutes ago. Two processing tasks have been running for over 45 minutes, which may indicate complex scenes or longer output durations. All tasks use the standard service tier.

Notes

This example demonstrates read-only task monitoring across your account. The MCP returns paginated results; if you have hundreds of tasks, you'll need to specify filters (status, model, date range) to narrow the scope. No billing impact from listing tasks.

Prompt

@BytePlus Ark create a new video generation task using the default model with prompt 'aerial drone shot of a coastal sunset, cinematic lighting, 4K'

Output

Video generation task created successfully. Task ID: vt_2p9k7x4m. Status: queued. The task will begin processing shortly and typically completes in 3-8 minutes depending on queue depth and video complexity. You can check progress by querying this task ID, or configure a callback URL in future requests to receive automatic status updates when generation completes or fails.

Notes

This example triggers a billable video generation request. BytePlus Ark charges per task based on model and service tier. The MCP returns immediately with a task ID; actual video generation is asynchronous. You must poll or use callbacks to retrieve the final video URL—creation does not block until completion.

Prompt

@BytePlus Ark check the status of task vt_2p9k7x4m and if it succeeded, summarize what the generated video shows based on the original prompt

Output

Task vt_2p9k7x4m completed successfully 4 minutes ago. Generated video URL: https://ark-output.bytepluscdn.com/vt_2p9k7x4m.mp4 (expires in 7 days). Based on the original prompt 'aerial drone shot of a coastal sunset, cinematic lighting, 4K', the video likely depicts a sweeping overhead view of an ocean coastline during golden hour, with warm orange and pink tones, smooth camera movement simulating drone flight, and high-resolution detail suitable for cinematic use.

Notes

This example pairs the MCP's task-retrieval tool with AI reasoning to interpret results. The MCP fetches raw task status and output URLs; the AI synthesizes context from the original prompt since BytePlus Ark does not return frame-by-frame descriptions. Output URLs are temporary—download videos promptly if you need long-term storage.

Use-case deep-dives

Social media content pipeline automation

When BytePlus Ark fits high-volume video generation workflows

A 6-person marketing team publishes 40 short-form videos per week across Instagram and TikTok. They need to generate B-roll, product demos, and explainer clips without a video editor bottleneck. BytePlus Ark works here because the async task model lets the team queue batches overnight, check status in the morning, and pull finished URLs into their CMS. The callback URL means their Slack bot can ping the channel when renders finish. The trade-off: you're locked into BytePlus's model catalog and pricing tiers, so if your team needs custom aspect ratios or frame rates the vendor doesn't support, you'll hit a wall. If you're generating more than 20 videos a day and can live with the vendor's model menu, connect this MCP and let your team queue tasks from chat.

Customer onboarding video personalization

BytePlus Ark for one-off personalized video at scale

A 12-person SaaS company sends each new enterprise customer a personalized walkthrough video with their logo and use-case. The customer success team used to record these manually; now they want to template the script and generate on-demand. BytePlus Ark handles this because the Create Video Task tool accepts parameters that vary per customer, the Get Video Task tool lets CS reps check progress before sending the link, and the List Video Tasks tool gives the manager a dashboard view of the week's output. The boundary: if you need more than four interactions per video (create, check, cancel, list), or if you want to edit the output after generation, this MCP is too thin. For straightforward template-to-video workflows under 50 videos a month, this is the right scope.

Internal training clip generation

When BytePlus Ark is overkill for small training libraries

A 3-person startup wants to build a library of 15 onboarding videos for new hires. They're considering BytePlus Ark because it's API-driven and they already use the vendor for other services. The honest call: this MCP is too much overhead for a one-time 15-video project. The async task model, callback URLs, and status polling make sense when you're generating videos weekly or daily, not once and done. You'll spend more time wiring the integration than you'd save versus using a simpler video tool or recording manually. BytePlus Ark pays off when your team generates at least 10 videos a month on a recurring cadence. Below that threshold, the four-tool surface area is more complexity than the workflow justifies.

Frequently asked

What does the BytePlus Ark MCP do in Switchy?

It lets your AI agents create, monitor, and manage video generation tasks through BytePlus Ark's API. Agents can start new video renders, check their status, retrieve output URLs when complete, and cancel queued jobs or delete finished task records. This is useful when your workflow needs programmatic video creation without manual dashboard work.

Do I need a BytePlus Ark API key to connect this MCP?

Yes. The MCP uses API key authentication, so you'll need to generate one from your BytePlus Ark account settings before connecting it in Switchy. Anyone on your team with access to the key can connect the MCP, but guard the key carefully—it authorises billable video generation tasks and full task management.

Can the MCP edit or re-render a video after it's generated?

No. Once a video task finishes, the MCP can only retrieve its output URLs or delete the task record entirely. If you need changes, your agent must create a new video task with different parameters. BytePlus Ark treats each generation as immutable, so plan your prompts and settings before the agent starts the task.

Why use this MCP instead of calling BytePlus Ark's API directly?

The MCP wraps BytePlus Ark's video API into natural-language tools your AI agents can call without you writing code. If you already have a video pipeline in Python or Node, stick with the direct API. Use the MCP when you want agents to trigger video renders conversationally or chain video generation into broader automation workflows inside Switchy.

Who on my team should connect the BytePlus Ark MCP?

Whoever manages your BytePlus Ark account and understands your video generation budget. The MCP can start billable tasks, so the person connecting it should know which models and service tiers your team is allowed to use. Once connected, any Switchy workspace member can invoke the tools through agents, so set clear usage guidelines.

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Data last verified 61 hours ago.Sources aggregated hourly to weekly. See docs/architecture/model-directory.md.