An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.
A lightweight, local MCP server for Mac that replicates a 3-stage LLM council workflow using OpenRouter, enabling multi-model deliberation and synthesis directly from AI coding tools.
An MCP server that provides an AI LLM orchestrator supporting multiple providers (LM Studio, Ollama, OpenAI, generic) plus SQLite-backed memory, kanban, and todo databases for persistent task and knowledge management.
MCP server for agentic task orchestration and management, enabling AI agents to create goals, plan tasks with acceptance criteria, track dependencies, request human input, and provide proof of completion.
MCP server that enables AI agents to run a deterministic orchestration loop with decomposition, subagent execution, and review feedback across multiple LLM backends.