NanoBanana Pro 2 runs on your own machine — the client starts it, so there is no endpoint to ping. 127 installs a week from pypi. Last commit 19 Apr 2026.
4K AI image generation via NanoBanana Pro 2: Pro + Flash models, Google Search grounding
We read the source, 19 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
этот файл ставится пользователю, но в репозитории его нет
full_path = os.path.join(self.out_dir, f"{filename}.{self.config.default_image_format}")
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add nanobanana-imagen-mcp -- uvx nanobanana-imagen-mcp
{
"mcpServers": {
"nanobanana-imagen-mcp": {
"args": [
"nanobanana-imagen-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.nanobanana-imagen-mcp]
command = "uvx"
args = ["nanobanana-imagen-mcp"]
{
"mcpServers": {
"nanobanana-imagen-mcp": {
"args": [
"nanobanana-imagen-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"nanobanana-imagen-mcp": {
"args": [
"nanobanana-imagen-mcp"
],
"command": "uvx"
}
}
}
Nano Banana MCP server — Google Gemini image generation and editing via Model Context Protocol
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MCP server for OpenAI Images/Videos and Google GenAI (Veo) media generation.
Answers built from our own checks of this server.