Venice

About

This Model Context Protocol (MCP) server seamlessly integrates Venice AI's advanced capabilities directly into AI assistants like Claude. It enables AI assistants to perform a wide range of tasks, including engaging in chats with various open language models such as Llama and DeepSeek, generating high-quality images using models like Stable Diffusion and FLUX, converting text into natural-sounding speech, and creating embeddings for use in search or RAG applications. Furthermore, it provides robust tools for managing Venice AI API keys and monitoring usage against rate limits, significantly enhancing the utility and flexibility of AI assistants for developers and users of the Venice AI platform.

Key Features

• Chat with diverse open language models (e.g., Llama, DeepSeek, Qwen)
• Create text embeddings for search and RAG applications
• Manage API keys and monitor rate limits for Venice AI services
• Convert text into natural-sounding spoken audio
• Generate images using advanced models like Stable Diffusion and FLUX
• 2 GitHub stars

Use Cases

• Building RAG (Retrieval Augmented Generation) applications with Venice embeddings
• Automating content creation workflows through an AI assistant interface
• Integrating Venice AI text generation, image creation, and TTS into AI assistants