Nanobanana MCP Server vs SSTV Decoder
A side-by-side look at the Nanobanana MCP Server and SSTV Decoder MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Nanobanana MCP Server for multimedia process work as a local process; choose SSTV Decoder for multimedia process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
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.
SChoose SSTV Decoder when
- You need dedicated capabilities in the Multimedia Process domain.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | S SSTV Decoder | |
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 63/100 · Good | 37/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Local subprocess (stdio) | — |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | GEMINI_API_KEYNANOBANANA_AUTH_METHODGCP_PROJECT_IDGCP_REGION | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 400 | — |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 4 | Not listed |
| Full listing | View Nanobanana MCP Server | View SSTV Decoder |
Tools & capabilities
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
SSTV Decoder tools
No tool names declared yet. Check the project README from the listing page.
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.
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"
}
}
}
}
SSTV Decoder
No confirmed install command for SSTV Decoder yet — follow the setup steps linked from its listing page rather than a guessed package name.