Genrelay MCP vs Runapi AI MCP
A side-by-side look at the Genrelay MCP and Runapi AI MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Genrelay MCP for multimedia process work as a local process; choose Runapi AI 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?
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.
Choose Runapi AI 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 want tools like
list_models, get_model_info, list_actions.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 44/100 · Fair | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | API key required |
| Pricing | BYOK (pay the provider) | Free |
| Required env vars | GENRELAY_API_KEYGENRELAY_BASE_URL | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 56 |
| Directory activity | 1 views 0 installs 0 upvotes | 6 views 0 installs 0 upvotes |
| Tools | 4 | 9 |
| Full listing | View Genrelay MCP | View Runapi AI MCP |
Tools & capabilities
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.
Runapi AI MCP tools 9
list_modelsList RunAPI models from the embedded catalog. Optional filters: modality, service, or action.get_model_infoGet supported endpoint, current runtime pricing, and input constraints for a RunAPI model slug. Add service and action when the model supports multiple endpoints.list_actionsList RunAPI endpoint names grouped by output modality.check_pricingReturn current runtime pricing for a RunAPI model/action pair.search_promptsSearch RunAPI prompt examples by modality, category, tags, text query, model, or featured status. Free, no API key required.check_balanceReturn the authenticated RunAPI account balance and spending metrics.create_taskRun a RunAPI operation with a caller-generated idempotency key. Asynchronous operations can optionally poll until completion.get_taskFetch the current status and latest payload for an existing RunAPI task.loginAuthenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.
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.
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"
}
}
}
}
Runapi AI MCP
{
"mcpServers": {
"runapi-ai-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/mcp"
]
}
}
}
Frequently asked questions
Genrelay MCP is categorized under Multimedia Process and uses a local stdio subprocess. Runapi AI MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick Genrelay MCP for multimedia process work and Runapi AI 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.
Genrelay MCP is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Runapi AI MCP is listed as free. 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 genrelay-mcp and runapi-ai-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Genrelay MCP has a quality signal of 44/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Runapi AI MCP has 68/100 (Great) with 6 views, 0 installs and 56 GitHub stars.