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qualityA bridge connecting physical hardware with AI large language models through the Model Context Protocol (MCP), enabling natural language control of TCP devices.
Last updated a year ago
3
7
MIT
Ollama is an open-source project that allows you to run large language models (LLMs) locally on your own hardware, providing a way to use AI capabilities privately without sending data to external services.
Why this server?
Supports local AI models through Ollama for controlling TCP devices without relying on cloud services
Why this server?
Enables local AI image analysis of screenshots through Ollama, supporting models like LLaVA and Qwen2-VL for vision tasks without sending data to the cloud.
Why this server?
Enables consulting with Ollama models for alternative reasoning viewpoints, with tools for sending prompts to models and listing available models on the Ollama instance.
Why this server?
Allows integration with Ollama, enabling use of Ollama models through the MCP interface. Provides capabilities to list models, get model details, and ask questions to Ollama models.
Why this server?
Provides integration with Ollama's local LLM hosting service, supporting customizable context settings and model parameters for browser automation
Why this server?
Enables research capabilities using any local LLM hosted by Ollama, supporting models like deepseek-r1 and llama3.2
Why this server?
Used within the n8n workflow to create embeddings for Goodday tasks, enabling semantic search capabilities for the MCP server.
Why this server?
Provides a bridge between Ollama and the Model Context Protocol, enabling access to Ollama's local LLM capabilities including model management (pull, push, list, create), model execution with customizable parameters, vision/multimodal support, and advanced reasoning via the 'think' parameter.
Why this server?
Supports integration with Ollama through MCPHost as a free alternative to Claude, enabling LLMs to interact with the MCP server