mcpField
B
Banana Prompts MCP

Banana Prompts MCP

Local
github.com/Banana-PromptsAI & Agents4Updated 42w ago

About Banana Prompts MCP

Banana Prompts MCP lets AI art workflows search Banana Prompts, a curated collection of Nano Banana prompts. It supports tag and keyword searches and returns links to full prompts and high-resolution images.

Key features

  1. 01Search prompts by tags
  2. 02Search prompt titles and content by query
  3. 03Return links to full prompts and images

Use cases

  1. 01Find prompts for a specific visual style
  2. 02Search prompt ideas by subject or keyword

MCP support

Exposes tag-based and query-based prompt search as tools for MCP-compatible clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"banana-prompts": {
"command": "npx",
"args": [
"-y",
"@bananaprompts/banana-prompts-mcp"
]
}
}
}
Run commandnpx -y @bananaprompts/banana-prompts-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@bananaprompts/banana-prompts-mcp1.0.2

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Banana Prompts MCP Server

This MCP (Model Context Protocol) server allows you to search for high-quality AI art prompts directly from Banana Prompts.

Explore a curated collection of Nano Banana prompts to inspire your next creation.

Features

  • Search by Tags: Find prompts by specific categories or styles (e.g., "Cyberpunk", "Portrait", "Oil Painting").
  • Search by Query: Perform a general keyword search across prompt titles and content.
  • Natural Integration: Each result includes a direct link to the full prompt and high-resolution images on the Banana Prompts website.

Installation

To use this server with Claude Desktop or any other MCP-compatible client, follow these steps:

1. Requirements
  • Node.js (v18 or higher recommended)
  • An MCP-compatible client (like Claude Desktop)
2. Setup

Clone the repository or download the files:

git clone https://github.com/Banana-Prompts/banana-prompts-mcp.git
cd banana-prompts-mcp
npm install
npm run build
3. Configuration
Claude Desktop

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "banana-prompts": {
      "command": "node",
      "args": ["/path/to/banana-prompts-mcp/dist/index.js"]
    }
  }
}

Replace /path/to/banana-prompts-mcp/dist/index.js with the actual absolute path to the compiled dist/index.js file.

Usage

Once configured, you can ask Claude to:

  • "Find some cyberpunk prompts on Banana Prompts"
  • "Search Banana Prompts for sunset landscape prompts"
  • "Show me prompts tagged with 'watercolor' from bananaprompts.fun"

Available Tools

  • search_prompts_by_tags: Input an array of tags to filter prompts.
  • search_prompts_by_query: Input a search string to find matching prompts.

Built by the team at Banana Prompts (bananaprompts.fun).

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.