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OpenAI MCP

by jezweb

OpenAI MCP is a Model Context Protocol (MCP) server that integrates with the DALL-E API for image generation. It's designed to work with Roo Code and other MCP-compatible AI assistants, providing comprehensive support for all DALL-E API options.

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What is OpenAI MCP?

This MCP server provides a tool for DALL-E image generation with comprehensive support for all DALL-E API options. It enables AI assistants like Roo Code to generate images through the Model Context Protocol (MCP) with fine-grained control over the generation process.

How to use OpenAI MCP?

  1. Install the package globally using npm install -g openai-mcp. 2. Run the setup command openai-mcp install to configure Roo Code. 3. Set your OpenAI API key in Roo Code settings by adding the OPENAI_API_KEY environment variable to the MCP server configuration. 4. Restart Roo Code.

Key features of OpenAI MCP

  • Full support for all DALL-E API options

  • Integration with Roo Code and other MCP-compatible AI assistants

  • Fine-grained control over image generation

  • Easy installation and setup

  • Model Context Protocol (MCP) compatibility

Use cases of OpenAI MCP

  • Generating images from text prompts within Roo Code

  • Integrating DALL-E image generation into AI workflows

  • Creating custom images for various applications

  • Experimenting with different DALL-E API options

  • Automated image creation through AI assistants

FAQ from OpenAI MCP

What is the Model Context Protocol (MCP)?

MCP is a protocol that allows AI assistants to interact with external tools and services.

Do I need an OpenAI API key to use this server?

Yes, you need an OpenAI API key to access the DALL-E API.

Is this server compatible with other AI assistants besides Roo Code?

Yes, it is compatible with any AI assistant that supports the Model Context Protocol (MCP).

Where can I find documentation for the DALL-E API?

You can find documentation on the OpenAI website.

How do I report issues or contribute to the project?

You can report issues or contribute to the project through the GitHub repository.