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?
Allows running the MCP server with local LLM models through Ollama, with specific support for models like qwen3 that can utilize MCP tools
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?
Provides access to Ollama's local LLM models through a Model Context Protocol server, allowing listing, pulling, and chatting with Ollama models
Why this server?
Enables integration with Ollama's local models to run MCTS analysis, allowing model selection, comparison between different Ollama models, and storing results organized by model name.
Why this server?
Connects to local Ollama model servers for unlimited token processing and private AI operations without API rate limits or usage restrictions
Why this server?
Integrates with Ollama to provide local LLM capabilities for natural language AEM management
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?
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?
Enables using Serena's coding tools with Ollama's open-weights models through the Agno agent framework