Ideogram MCP Server
Enables image generation, editing, and description using Ideogram AI's models through natural language.
README
Ideogram MCP Server
A Model Context Protocol (MCP) server implementation for the Ideogram AI API. This server provides tools for generating, editing, and describing images using Ideogram's powerful AI models.
Features
- Generate images from text descriptions
- Edit existing images using masks
- Generate descriptions for images
- Download generated images to local directory
- Prompt templates for common operations
Installation
- Clone the repository
git clone https://github.com/flowluap/ideogram-mcp-server.git
cd ideogram-mcp-server
- Install dependencies
npm install
- Build the project
npm run build
Cursor Integration
To use this MCP in Cursor, add the following configuration to your Cursor settings (Settings > AI > Model Context Protocol):
{
"mcps": {
"ideogram-mcp": {
"command": "node",
"args": ["PATH_TO_YOUR_DIST/index.js"],
"env": {
"IDEOGRAM_API_KEY": "your-api-key-here"
}
}
}
}
Replace:
PATH_TO_YOUR_DIST/index.jswith the absolute path to your builtindex.jsfileyour-api-key-herewith your actual Ideogram API key
Example (redacted):
{
"mcps": {
"ideogram-mcp": {
"command": "node",
"args": ["/path/to/ideogram-mcp-server/dist/index.js"],
"env": {
"IDEOGRAM_API_KEY": "xxxxx-REDACTED-xxxxx"
}
}
}
}
Available Tools
-
generate- Generate images from text prompts
- Parameters:
prompt: string (required)aspect_ratio: string (optional) - One of: ASPECT_1_1, ASPECT_16_9, ASPECT_9_16, ASPECT_4_3, ASPECT_3_4model: string (optional) - One of: V_1, V_2, V_2_TURBOmagic_prompt_option: string (optional) - One of: AUTO, ON, OFFnum_images: number (optional) - Between 1 and 8seed: number (optional) - Between 0 and 2147483647
-
edit- Edit images using masks
- Parameters:
image_file: string (required) - Base64 or file pathmask: string (required) - Base64 or file pathprompt: string (required)model: string (required) - One of: V_2, V_2_TURBO
-
describe- Generate descriptions for images
- Parameters:
image_file: string (required) - Base64 or file path
-
download_images- Download generated images to local directory
- Parameters:
urls: string[] (required) - Array of image URLsoutput_dir: string (required) - Output directory path
Prompt Templates
generate_image- Template for generating images
- Parameters:
description: string
Development
# Build the project
npm run build
# Run in development mode
npm run dev
# Run tests
npm test
# Run linter
npm run lint
Requirements
- Node.js >= 18.0.0
- Ideogram API key
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a new Pull Request
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.