Unified MCP server for querying multiple LLM providers (Gemini, OpenAI, Anthropic, etc.) with advanced routing, cost optimization, and fallback resilience.
Provides a unified MCP interface for running completions, embeddings, image generation, and classification across OpenAI, Anthropic, Groq, and Mistral. Eliminates provider-specific boilerplate by standardizing API calls for text generation, vector embeddings, and classification tasks.
Production-ready MCP server enabling LLM text generation, template management, context-aware conversations, and memory storage with enterprise quality assurance.
MCP server for interacting with Yandex Cloud AI Studio, enabling chat, text generation, image generation, speech recognition/synthesis, embeddings, classification, search indexes, and AI agent creation with function calling.
Centralized gateway for multiple AWS Bedrock models through the Model Context Protocol (MCP), enabling AI agents to interact with 15+ Bedrock models like Nova, Claude, Llama, and Mistral.