A side-by-side look at the MCP Seedream Pro and Sensenova U1 MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Seedream Pro for multimedia process work as a local process; choose Sensenova U1 MCP for multimedia process as a local process. You can also run both side by side in one mcpServers block.
ACEDATACLOUD_API_TOKEN.seedream_generate_image, seedream_edit_image, seedream_decompose_image.SENSENOVA_API_KEY.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 51/100 · Good | 44/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | BYOK (pay the provider) |
| Required env vars | ACEDATACLOUD_API_TOKEN | SENSENOVA_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 3 | 2 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 7 | Not listed |
| Full listing | View MCP Seedream Pro | View Sensenova U1 MCP |
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.No tool names declared yet. Check the project README from the listing page.
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-seedream-pro": {
"command": "uvx",
"args": [
"mcp-seedream-pro"
],
"env": {
"ACEDATACLOUD_API_TOKEN": "YOUR_ACEDATACLOUD_API_TOKEN_HERE"
}
}
}
}
{
"mcpServers": {
"sensenova-u1-mcp": {
"command": "npx",
"args": [
"-y",
"sensenova-u1-mcp"
],
"env": {
"SENSENOVA_API_KEY": "YOUR_SENSENOVA_API_KEY_HERE"
}
}
}
}