Filtrix AI MCP vs Genrelay MCP
A side-by-side look at the Filtrix AI MCP and Genrelay MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Filtrix AI MCP for multimedia process work; choose Genrelay MCP for multimedia process as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
FChoose Filtrix AI MCP when
- You need dedicated capabilities in the Multimedia Process domain.
Choose Genrelay MCP when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
GENRELAY_API_KEY, GENRELAY_BASE_URL. - You want tools like
generate_video, generate_image, check_job.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | F Filtrix AI MCP | |
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 37/100 · Fair | 44/100 · Fair |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | BYOK (pay the provider) |
| Required env vars | None listed | GENRELAY_API_KEYGENRELAY_BASE_URL |
| Verified owner | Community listing | Community listing |
| GitHub stars | — | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | Not listed | 4 |
| Full listing | View Filtrix AI MCP | View Genrelay MCP |
Tools & capabilities
Filtrix AI MCP tools
No tool names declared yet. Check the project README from the listing page.
Genrelay MCP tools 4
generate_videoGenerate a video with Veo 3.1, Grok Imagine or Omni Flash. Generation usually takes 1-5 minutes, longer than a tool call can wait — if it is still running when the wait budget runs out, this returns a task id to check later with check_job. Supports text-to-video and image-to-video (pass reference_images).generate_imageGenerate an image with Nano Banana Pro/2 or GPT Image 2. Usually finishes within the tool-call budget and returns the picture inline. Supports image editing and reference-guided generation via reference_images.check_jobCheck a job started earlier by generate_video or generate_image, using its task id. Returns the current status and, once finished, the download URL.list_modelsList the video and image models this server can generate with, and what each is for.
Ready-to-paste client configs
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.
Filtrix AI MCP
No confirmed install command for Filtrix AI MCP yet — follow the setup steps linked from its listing page rather than a guessed package name.
Genrelay MCP
{
"mcpServers": {
"genrelay-mcp": {
"command": "npx",
"args": [
"-y",
"genrelay-mcp"
],
"env": {
"GENRELAY_API_KEY": "YOUR_GENRELAY_API_KEY_HERE",
"GENRELAY_BASE_URL": "YOUR_GENRELAY_BASE_URL_HERE"
}
}
}
}