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.

F
Filtrix AI MCPMultimedia Process
Filtrix MCP for image/video generation. Portal: https://agent.filtrix.ai/37FairAuth: not declared
Genrelay MCP logoGenrelay MCPMultimedia Process · Local subprocess (stdio)Generate video and images (Veo 3.1, Grok Imagine, Nano Banana, GPT Image 2) via the GenRelay API.44FairAuth: api key required

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?

F
Choose Filtrix AI MCP when

  • You need dedicated capabilities in the Multimedia Process domain.
Explore Filtrix AI MCP

Genrelay MCP logoChoose 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.
Explore Genrelay MCP

Feature & specification comparison

Rows where the two servers differ are marked.

Spec
F
Filtrix AI MCP
Genrelay MCP logoGenrelay MCP
CategoryMultimedia ProcessMultimedia Process
Quality signal37/100 · Fair44/100 · Fair
Install commandNot confirmed yetConfirmed
Transport—Local subprocess (stdio)
AuthNot declaredAPI key required
PricingNot declaredBYOK (pay the provider)
Required env varsNone listedGENRELAY_API_KEYGENRELAY_BASE_URL
Verified ownerCommunity listingCommunity listing
GitHub stars—0
Directory activity 1 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
ToolsNot listed4

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 (Claude Desktop / Cursor)
{
  "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"
      }
    }
  }
}

Frequently asked questions

Filtrix AI MCP is categorized under Multimedia Process and uses an install path we have not confirmed yet. Genrelay MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick Filtrix AI MCP for multimedia process work and Genrelay MCP for multimedia process.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Filtrix AI MCP has no confirmed install command yet — follow its own setup instructions.

Filtrix AI MCP has no declared pricing — check the project's own site. Genrelay MCP is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add filtrix-ai-mcp and genrelay-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Filtrix AI MCP has a quality signal of 37/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Genrelay MCP has 44/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.