How does the Ollama MCP Server integrate with other applications?

The server integrates seamlessly with Claude Desktop for extended functionality, allowing you to leverage your local Ollama models within the Claude environment. It can also be tested and configured using the MCP Inspector.

What is the Ollama MCP Server?

The Ollama MCP Server is a Model Context Protocol (MCP) server designed to expose a tool for listing all AI models installed locally via Ollama, helping developers manage their local Language Models (LLMs).

What are the requirements to run the Ollama MCP Server?

To run this server, you'll need Java 25, Maven 3.9+, and an Ollama instance actively running on `http://localhost:11434`.

What is the main function of this server?

Its primary function is to provide the `list_ollama_models` tool. This tool returns the names of all AI models currently installed and managed by your local Ollama instance, offering an overview of your available models.

Ollama

Name: Ollama
Author: ZairBulos

byZairBulos

0•

Desarrollo de API

Herramientas para Desarrolladores

Ciencia de Datos y ML

Exposes a tool to list all locally installed AI models managed by Ollama.

This tool functions as an MCP (Model Context Protocol) server, developed using the Model Context Protocol Java SDK. Its primary purpose is to provide a standardized interface for discovering and listing all artificial intelligence models that are installed and running on a local Ollama instance. This enables seamless integration with other MCP-compatible applications, such as the MCP Inspector for testing or Claude Desktop for enhanced functionality, allowing users to programmatically access information about their local AI model ecosystem.

Características Principales

010 GitHub stars

02Integrates with MCP Inspector for testing and configuration

03Exposes `list_ollama_models` tool to retrieve local Ollama models

04Built with Model Context Protocol Java SDK

05Connects seamlessly with Claude Desktop for extended functionality

Casos de Uso

01Managing and listing locally installed AI models within Claude Desktop

02Programmatic access to Ollama model inventory for development and automation workflows

03Integrating local Ollama model discovery into MCP-compatible applications