A side-by-side look at the Mediamcp 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 Mediamcp 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.
OPENROUTER_API_KEY.generate_image, edit_image, generate_video.SENSENOVA_API_KEY.Rows where the two servers differ are marked.
| Spec | S Sensenova U1 MCP | |
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 64/100 · Good | 44/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | API key required |
| Pricing | BYOK (pay the provider) | BYOK (pay the provider) |
| Required env vars | OPENROUTER_API_KEY | SENSENOVA_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 4 | 2 |
| Directory activity | 2 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 6 | Not listed |
| Full listing | View Mediamcp | View Sensenova U1 MCP |
generate_imageGenerate one or more images from a text prompt using a cloud AI model. Every image is saved to disk and its absolute path is returned, along with a small inline preview. Use edit_image instead when starting from an existing image.edit_imageEdit or transform existing image(s) with a text instruction — restyle, add or remove elements, change background, or combine several images into one scene. The result is saved to disk and its absolute path is returned, along with a small inline preview.generate_videoGenerate a video from a text prompt, and optionally from an input image (image-to-video). Async job: starts generation, then waits and polls. Video generation typically takes 1-5 minutes. The finished file is saved to disk and its absolute path is returned. If waiting times out, a polling_url is returned — pass it to check_video_status later instead of starting a new (billed) job. For image-to-video, pass first_frame_image so the clip animates from that exact picture (e.g. a still produced by generate_image). Image inputs require an image-to-video-capable model such as 'bytedance/seedance-2.0', 'bytedance/seedance-2.0-fast', or 'google/veo-3.1'.check_video_statusCheck a previously started video generation job (from generate_video's polling_url or video id). If the job has completed, downloads the video, saves it to disk, and returns the absolute path.list_modelsList image- and video-capable model slugs available on the configured endpoint, with pricing where known. Use this to pick a `model` value for generate_image, edit_image, or generate_video.check_configDiagnose the mediamcp server setup: endpoint, API key presence and validity, default models, and output directory writability. Run this first when any other mediamcp tool fails.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": {
"legolev-mediamcp": {
"command": "npx",
"args": [
"-y",
"mediamcp"
],
"env": {
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_API_KEY_HERE"
}
}
}
}
{
"mcpServers": {
"sensenova-u1-mcp": {
"command": "npx",
"args": [
"-y",
"sensenova-u1-mcp"
],
"env": {
"SENSENOVA_API_KEY": "YOUR_SENSENOVA_API_KEY_HERE"
}
}
}
}