llm-council: LLM Council is a multi-LLM deliberation system that enables multiple large language models to collaboratively answer questions through a three-stage process: independent responses, anonymous peer review, and chairman synthesis. It supports various LLM gateways and can be deployed as a Python library, MCP server, or HTTP API. Designed for high-quality, balanced answers with features like rubric scoring, bias auditing, and offline mode.; ninjaone-mcp: NinjaOne MCP Server connects AI assistants to the NinjaOne IT management platform via Model Context Protocol. It uses a hierarchical tool-loading architecture to expose device monitoring, patch management, scripting, ticketing, and alert management — loading only the relevant domain tools on demand to reduce context overhead. Supports one-click deployment to DigitalOcean and Cloudflare Workers.
Complex reasoning and decision-making requiring diverse AI perspectives
Managing IT devices and running scripts through an AI assistant interface