A side-by-side look at the MCP Kling and MCP Seedream Pro MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Kling for multimedia process work as a local process; choose MCP Seedream Pro for multimedia process as a local process. You can also run both side by side in one mcpServers block.
ACEDATACLOUD_API_TOKEN.kling_generate_video, kling_generate_video_from_image, kling_extend_video.ACEDATACLOUD_API_TOKEN.seedream_generate_image, seedream_edit_image, seedream_decompose_image.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 51/100 · Good | 51/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | ACEDATACLOUD_API_TOKEN | ACEDATACLOUD_API_TOKEN |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 3 |
| Directory activity | 7 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 8 | 7 |
| Full listing | View MCP Kling | View MCP Seedream Pro |
kling_generate_videoGenerate AI video from a text prompt using Kling.kling_generate_video_from_imageGenerate AI video using reference images as start and/or end frames.kling_extend_videoExtend an existing video with additional content.kling_generate_motionTransfer motion from a reference video to a character image.kling_get_taskQuery the status and result of a video generation task.kling_get_tasks_batchQuery multiple video generation tasks at once.kling_list_modelsList all available Kling models for video generation.kling_list_actionsList all available Kling API actions and corresponding tools.seedream_generate_imageGenerate an AI image from a text prompt using ByteDance's Seedream model.seedream_edit_imageEdit images, including Seedream 5.0 Pro transparent-background mode.seedream_decompose_imageSplit one image into a base and up to 16 positioned transparent layers.seedream_get_taskQuery the status and result of a Seedream image generation or edit task.seedream_get_tasks_batchQuery multiple Seedream image tasks at once.seedream_list_modelsList all available Seedream models with their capabilities and pricing.seedream_list_sizesList all available image sizes and resolution options for Seedream.Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
{
"mcpServers": {
"mcp-kling": {
"command": "uvx",
"args": [
"mcp-kling"
],
"env": {
"ACEDATACLOUD_API_TOKEN": "YOUR_ACEDATACLOUD_API_TOKEN_HERE"
}
}
}
}
{
"mcpServers": {
"mcp-seedream-pro": {
"command": "uvx",
"args": [
"mcp-seedream-pro"
],
"env": {
"ACEDATACLOUD_API_TOKEN": "YOUR_ACEDATACLOUD_API_TOKEN_HERE"
}
}
}
}