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- primitive-go-mcp-server
Primitive Go Mcp Server
What is Primitive Go Mcp Server
primitive-go-mcp-server is a Go implementation of an MCP (Model Context Protocol) server that generates images using OpenAI’s DALL-E API. It serves as a tool for building MCP applications that can interact with large language models like Claude.
Use cases
Use cases for primitive-go-mcp-server include generating custom images for creative projects, enhancing content creation workflows, and providing visual representations for text-based prompts in applications that utilize large language models.
How to use
To use primitive-go-mcp-server, first build the server using the provided Go command. Then, configure your Claude Desktop by adding the server path and your OpenAI API key to the configuration file. After restarting Claude Desktop, you can prompt it to generate images based on your text descriptions.
Key features
Key features include the ability to generate images from text descriptions, automatic handling of save locations, configurable image dimensions, proper error handling and logging, and compatibility with Claude Desktop and other MCP clients.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Primitive Go Mcp Server
primitive-go-mcp-server is a Go implementation of an MCP (Model Context Protocol) server that generates images using OpenAI’s DALL-E API. It serves as a tool for building MCP applications that can interact with large language models like Claude.
Use cases
Use cases for primitive-go-mcp-server include generating custom images for creative projects, enhancing content creation workflows, and providing visual representations for text-based prompts in applications that utilize large language models.
How to use
To use primitive-go-mcp-server, first build the server using the provided Go command. Then, configure your Claude Desktop by adding the server path and your OpenAI API key to the configuration file. After restarting Claude Desktop, you can prompt it to generate images based on your text descriptions.
Key features
Key features include the ability to generate images from text descriptions, automatic handling of save locations, configurable image dimensions, proper error handling and logging, and compatibility with Claude Desktop and other MCP clients.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Image Generation Server
A Go implementation of an MCP (Model Context Protocol) server that generates images using OpenAI’s DALL-E API. This server demonstrates how to build MCP tools that can be used by Large Language Models like Claude.
Features
- Generate images from text descriptions
- Automatic handling of save locations
- Configurable image dimensions
- Proper error handling and logging
- Works with Claude Desktop and other MCP clients
Prerequisites
- Go 1.19 or higher
- OpenAI API key
- Claude Desktop (for testing)
Build command
go build -o ./bin/imagegen-go ./main
Configuration
Add this server to your Claude Desktop configuration at ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"imagegen-go": {
"command": "/path/to/imagegen-go/bin/imagegen-go",
"env": {
"OPENAI_API_KEY": "your-api-key",
"DEFAULT_DOWNLOAD_PATH": "/path/to/downloads"
}
}
}
}
Usage
- Build the server using the command above
- Configure Claude Desktop with your server path and API key
- Restart Claude Desktop
- Ask Claude to generate images!
Example prompt:
“Can you generate an image of a riverside home in cinematic style?”
Implementation Details
This server implements the MCP tools capability and provides a single tool:
generate-image: Generates an image from a text prompt using OpenAI’s DALL-E
License
MIT License
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










