Local Model Suitability MCP

Local Model Suitability MCP is a Model Context Protocol (MCP) server that helps users and agents automatically determine whether a given AI task can be performed efficiently on a local model instead of incurring the cost of cloud inference. By analyzing the task, desired quality, and data sensitivity, it issues a verdict so workloads can be routed to platforms like Ollama, LM Studio, or llama.cpp if appropriate. It's designed for developers and organizations looking to optimize AI costs, maintain data privacy, and maximize use of local inference resources.