Configurable MCP server that lets you define LLM-powered tools via JSON, enabling easy integration of multiple models (GPT, Gemini, Claude, etc.) as MCP tools without writing Python code.
Multi-cloud MCP server that exposes cloud AI models as tools for AI CLI agents, supporting streaming, conversation history, parallel multi-model queries, and dynamic model discovery.
A local MCP server exposing the OpenAI platform REST API as tools for file management, fine-tuning, inference, images, audio, batch processing, and organization usage/costs.
MCP server that connects LLM agents to a local LM Studio instance, enabling model management, OpenAI-compatible chat completions, text completions, and embeddings through a set of tools.
MCP server that interfaces with Gemini and OpenAI CLI tools to enable AI model interactions. It provides a bridge to external AI CLIs with predefined model configurations.