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 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.
An MCP server that bypasses Claude's context by routing file processing to local or cloud AI, saving token costs. It reads files from disk and returns distilled results without Claude seeing the raw content.
MCP server that enables cloud models (like Gemini/Claude) to delegate coding tasks to a local llama.cpp server, preserving cloud usage limits through an AI-powered code review loop.
An MCP server that offloads bulk coding tasks to local LLMs, allowing Claude Code to delegate repetitive work like boilerplate generation and code polishing while preserving its context for complex reasoning.
