Offload routine LLM tasks from expensive cloud models to local Ollama instances. Provides handoff tools with built-in prompts for summaries, drafts, extractions, and code reviews at zero cloud cost.
ollama-handoff is an MCP server that enables intelligent task delegation between cloud-based LLM agents and local Ollama models. It intercepts routine, computationally cheap tasks like text summarization, draft generation, data extraction, and first-pass code reviews, routing them to a local Ollama instance instead of expensive cloud APIs, dramatically reducing operational costs.
Installation requires: 1) Installing Ollama locally on your system (Windows, Mac, Linux supported), 2) Cloning the ollama-handoff repository from GitHub, 3) Installing Python dependencies via pip, 4) Configuring your MCP client to connect to the server, 5) Defining handoff rules for task types you want to delegate locally.
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