# Task decomposition

Ollama-MCP-server is a middleware server that connects the local Ollama large language model. It provides task decomposition, result evaluation, and model management functions through the Model Context Protocol, supporting standardized communication and performance optimization.

This project is an MCP server based on a multi - agent system. It analyzes and solves complex tasks by generating multiple agents with professional perspectives in parallel, supports multiple problem - solving strategies, and integrates the outputs of each agent to generate a final solution.

An MCP server based on the Linear API for comprehensive project management, supporting functions such as initiative, project, issue, and relationship management.

The Divide and Conquer MCP Server is a task management server based on a JSON structure, designed for AI agents to decompose complex tasks, track progress, and maintain context.