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by NightTrek • Modeling & Simulation
Bridges Ollama's local LLM capabilities to the Model Context Protocol (MCP), letting agents manage and run Ollama models through a standardized MCP interface.
Run local Ollama models through MCP for low-latency or privacy-sensitive inference.
An OpenAI-compatible chat completion API backed by locally hosted models.
Manage model lifecycle (pull, push, list, create, remove) programmatically via MCP.
This MCP server exposes Ollama functionality (model management, model execution, and an OpenAI-compatible chat completion API) to MCP-enabled applications. It supports pulling/pushing/listing models, creating custom models from Modelfiles, and running models with configurable parameters (temperature, timeout, raw mode). Designed for local deployment, it gives teams low-latency inference, full control, and improved privacy compared to cloud-hosted LLM APIs.
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