Nano Banana runs on your own machine — the client starts it, so there is no endpoint to ping. 173 installs a week from npm. Last commit 2 Nov 2026.
Nano Banana MCP server — Google Gemini image generation and editing via Model Context Protocol
We read the source, 21 h ago · rules 995398eba69f
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.
const fullPath = path.join(stagingDir, filename);
const child = spawn(process.execPath, [script], {
if (isUnder(resolvedAbs, sshDir)) return { hit: true, reason: '~/.ssh/** is sensitive' };
<script src="https://appsforoffice.microsoft.com/lib/1.1/hosted/office.js"></script>
const entries = fs.readdirSync(workspacePath, { withFileTypes: true });
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 mcp-server-nano-banana -e 'GEMINI_API_KEY=<GEMINI_API_KEY>' -- npx -y @mindstone/mcp-server-nano-banana
{
"mcpServers": {
"mcp-server-nano-banana": {
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-nano-banana"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}
[mcp_servers.mcp-server-nano-banana]
command = "npx"
args = ["-y", "@mindstone/mcp-server-nano-banana"]
env = { GEMINI_API_KEY = "<GEMINI_API_KEY>" }
{
"mcpServers": {
"mcp-server-nano-banana": {
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-nano-banana"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}
{
"servers": {
"mcp-server-nano-banana": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-nano-banana"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>"
}
}
}
}
Put your own value in place of
<GEMINI_API_KEY> (Google Gemini API key).
The author’s registry entry marks it as required.
Optional settings from the registry entry, left out of the block above:
MCP_WORKSPACE_PATH (Workspace directory for saving generated images), NANO_BANANA_GEMINI_TIMEOUT_MS (Outbound Gemini request timeout in milliseconds), NANO_BANANA_BRIDGE_TIMEOUT_MS (Host-bridge request timeout in milliseconds).
MCP server for Google Gemini image generation and editing
AI image generation and editing with Google Gemini: Nano Banana 2.1, Pro and Lite models
MCP server for Google Nano Banana (Gemini) image generation
Google Gemini image generation, editing, and local processing via MCP
Generate and edit images with Google Gemini (Nano Banana / Nano Banana Pro) image models.
Model Context Protocol server for Google Gemini AI with chat, research, and grounding
4K AI image generation via NanoBanana Pro 2: Pro + Flash models, Google Search grounding
Model Context Protocol server for Google's Jules AI coding agent
Answers built from our own checks of this server.