An MCP server that allows Claude Code to offload mechanical tasks such as summarization, classification, and drafting to a local LLM, reducing API costs while keeping Claude in control of complex reasoning and quality review.
MCP server that lets Claude Code offload simple tasks like code explanation, writing tests, and adding comments to a local Ollama model, saving Claude API tokens.
MCP server that delegates mechanical tasks like summarization, classification, extraction, and drafting to a local Llama.cpp LLM, serving as a cost-optimization layer while Claude handles reasoning and quality control.
A local MCP server that delegates coding tasks to local Qwen and cloud Gemini models, enabling orchestrators like Claude Code to offload routine code generation and receive verified results with automatic correction logging.
MCP server connecting Claude Code to LM Studio, delegating token-expensive tasks to a local model while keeping the cloud model in control. It reduces cloud context usage by reading files locally and returning only the processed results.
