Imagerecog

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Imagerecog provides a simple and efficient way to perform image recognition through a decoupled server-client architecture. This project leverages the Model Context Protocol (MCP) to allow clients to connect, use, and disconnect from an image recognition server, potentially on separate nodes. This approach better suits cloud-native use cases compared to traditional STDIO-based patterns where the client spawns the server as a subprocess. It includes a Streamlit client application for easy interaction and supports configuration for different LLM providers like OpenAI and local Ollama models.

Características Principales

• Streamlit client app for user interaction.
• Configuration options for OpenAI and local Ollama models.
• SSE-based server architecture for decoupled client-server communication.
• 0 GitHub stars
• Integration with the Model Context Protocol (MCP).
• Docker support for easy deployment.

Casos de Uso

• Integration with VS Code Copilot Chat or MCP Inspector for testing.
• Rapid prototyping of image recognition services.
• Image recognition in cloud-native applications.