Ollama
Establishes a powerful bridge between Ollama and the Model Context Protocol (MCP), enabling seamless integration of local LLM capabilities into MCP-powered applications.
About
This tool serves as a robust server for integrating Ollama, the local Large Language Model (LLM) runtime, with applications that utilize the Model Context Protocol (MCP). It offers comprehensive API coverage for Ollama functionalities, allowing for full control over local LLM operations, including OpenAI-compatible chat completions. Developers can leverage its capabilities to manage models, execute prompts, utilize vision/multimodal features, and integrate advanced reasoning parameters, all while maintaining privacy and control over their AI models.
Key Features
- Advanced reasoning and transparency with the optional 'think' parameter
- Complete Ollama API coverage via MCP interface
- Support for vision/multimodal models and raw mode execution
- 0 GitHub stars
- OpenAI-compatible chat completion API for local LLMs
- Comprehensive model management (pull, push, list, create, copy, remove models)
Use Cases
- Develop AI applications leveraging local LLMs with an OpenAI-compatible interface for chat and image processing
- Integrate local Ollama LLMs into Model Context Protocol applications like Claude Desktop
- Programmatically manage, pull, and run various AI models (e.g., Llama2, Gemma) locally