fabelis/image-mcp-servers
If you are the rightful owner of image-mcp-servers and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This project implements an SSE MCP server that exposes tools for interacting with HuggingFace and Replicate APIs, focusing on image generation and model management.
The Image MCP Server is a robust implementation of a Server-Sent Events (SSE) Model Context Protocol (MCP) server. It is designed to facilitate seamless interaction with HuggingFace and Replicate APIs, primarily focusing on image generation and model management. Built using the MCP Core framework, this server provides a standardized interface for AI model interactions, making it easier for developers to integrate and manage AI models. The server supports features like retrieving model information, generating images, and managing API tokens. It is highly configurable and can be deployed using Docker for containerized environments, ensuring flexibility and scalability.
Features
- HuggingFace Integration: Provides tools to interact with HuggingFace models, including retrieving model info, sample images, and searching models.
- Replicate Integration: Offers capabilities to generate images, retrieve model info, and manage predictions using Replicate's API.
- Environment Configuration: Allows customization of server settings through environment variables, including server name, version, and API tokens.
- Feature Toggles: Supports enabling or disabling specific features like HuggingFace or Replicate integration during build time.
- Docker Support: Includes Docker configurations for easy deployment and management of the server in containerized environments.
