Genrelay MCP vs Nanobanana MCP Server
A side-by-side look at the Genrelay MCP and Nanobanana MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
G
Genrelay MCPMultimedia Process · Local subprocess (stdio)Generate video and images (Veo 3.1, Grok Imagine, Nano Banana, GPT Image 2) via the GenRelay API.61GoodAuth: api key requiredVerdict: choose Genrelay MCP for multimedia process work as a local process; choose Nanobanana MCP Server 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?
GChoose 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 Nanobanana MCP Server when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
GEMINI_API_KEY, NANOBANANA_AUTH_METHOD, GCP_PROJECT_ID, GCP_REGION. - You want tools like
generate_image, upload_file, show_output_stats.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | G Genrelay MCP | |
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 61/100 · Good | 63/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | Not declared |
| Pricing | BYOK (pay the provider) | Not declared |
| Required env vars | GENRELAY_API_KEYGENRELAY_BASE_URL | GEMINI_API_KEYNANOBANANA_AUTH_METHODGCP_PROJECT_IDGCP_REGION |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 400 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 4 | 4 |
| Full listing | View Genrelay MCP | View Nanobanana MCP Server |
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.
Nanobanana MCP Server tools 4
generate_imageGenerate new images or edit existing images using natural language instructions. Supports multiple input modes: 1. Pure generation: Just provide a prompt to create new images 2. Multi-image conditioning: Provide up to 3 input images using input_image_path_1/2/3 parameters 3. File ID editing: Edit previously uploaded images using Files API ID 4. File path editing: Edit local images by providing single input image path Automatically detects mode based on parameters or can be explicitly controlled. Input images are read from the local filesystem to avoid massive token usage. Returns both MCP image content blocks and structured JSON with metadata.upload_fileUpload a local file through the Gemini Files API and return its URI & metadata. Useful when the image is larger than 20MB or reused across prompts.show_output_statsShow statistics about the output directory and recently generated images.maintenancePerform maintenance operations following workflows.md patterns. Available operations: - cleanup_expired: Remove expired Files API entries from database - cleanup_local: Clean old local files based on age/LRU - check_quota: Check Files API storage usage vs. ~20GB budget - database_hygiene: Clean up database inconsistencies - full_cleanup: Run all cleanup operations in sequence
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"
}
}
}
}
Nanobanana MCP Server
{
"mcpServers": {
"nanobanana-mcp-server": {
"command": "uvx",
"args": [
"nanobanana-mcp-server@latest"
],
"env": {
"GEMINI_API_KEY": "YOUR_GEMINI_API_KEY_HERE",
"NANOBANANA_AUTH_METHOD": "YOUR_NANOBANANA_AUTH_METHOD_HERE",
"GCP_PROJECT_ID": "YOUR_GCP_PROJECT_ID_HERE",
"GCP_REGION": "YOUR_GCP_REGION_HERE"
}
}
}
}
Frequently asked questions
Genrelay MCP is categorized under Multimedia Process and uses a local stdio subprocess. Nanobanana MCP Server belongs to Multimedia Process and uses a local stdio subprocess. Pick Genrelay MCP for multimedia process work and Nanobanana MCP Server 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. Nanobanana MCP Server has no declared pricing — check the project's own site. 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 nanobanana-mcp-server 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 61/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Nanobanana MCP Server has 63/100 (Good) with 1 views, 0 installs and 400 GitHub stars.