Enables AI assistants to intelligently select and switch between different AI models (OpenAI, Anthropic, etc.) within the same conversation based on task requirements. Provides a unified interface for accessing multiple AI providers through a single MCP tool.
Enables intelligent LLM optimization and routing for Claude Desktop and HTTP clients, reducing token usage and automatically selecting the best model for each query.
An MCP-based tool orchestrator that exposes a single execute_task tool to Claude while internally managing 100+ tools through hierarchical navigation with a cheaper LLM, preventing context overflow from loading all tool definitions.
A lightweight Claude MCP gateway that dynamically loads tools only when needed, cutting MCP token clutter by up to 95% and keeping your context lean, fast, and focused.
An MCP server for deterministic prompt optimization in Claude Code. Score prompts across 7 quality dimensions, auto-select from 11 Anthropic techniques, and return a structural scaffold.