Ollama-mcp
Ollama MCP Server is designed to facilitate the integration of Ollama's local LLM capabilities with the Model Context Protocol (MCP). It offers complete API coverage, enabling users to manage and execute models locally with OpenAI-compatible chat interfaces and customizable configurations.
What is the primary function of the Ollama MCP Server?
The Ollama MCP Server acts as a bridge between Ollama's local LLM capabilities and the Model Context Protocol, enabling seamless integration and execution of AI models within MCP-powered applications.
How does the server handle model execution?
The server supports running models with customizable prompts, offers a chat completion API, and allows configuration of parameters like temperature and timeout for model execution.
Can I use the Ollama MCP Server as a replacement for OpenAI's API?
Yes, the server provides an OpenAI-compatible chat completion API, making it a suitable drop-in replacement for OpenAI's API.
What are the prerequisites for using the Ollama MCP Server?
You need to have Ollama installed on your system, along with Node.js and npm/pnpm for building and running the server.
Is it possible to create custom models with the Ollama MCP Server?
Yes, you can create custom models using Modelfiles, which can then be managed and executed through the server.