Local-first MCP server that lets AI agents design Cisco-style networks and generate L1/L2/L3 topology diagrams, device tables, and AI-ready context files.
Creates and visualizes network diagrams through MCP tools for adding nodes and edges, with real-time web interface and REST API for building architecture diagrams interactively.
Open-source operational brain that fuses an AI system's agents, memory, knowledge and automations into one rooted, privacy-walled graph, served over MCP with stats, search, node dossiers, neighbors and pathfinding. The same snapshot also renders up to a million nodes in a 3D browser view.
Agent-first knowledge graph MCP server that provides 25 tools for managing a knowledge graph with nodes and edges, plus a human-readable dashboard for LLMs and AI agents.
Self-hosted, source-available AI workflow automation platform. Build multi-agent, RAG, and tool-using pipelines on a visual canvas and publish any workflow as an MCP server (stdio/SSE/Streamable HTTP). Also an MCP client via the agent node.
A comprehensive network management platform for tracking devices, sites, and topologies across platforms like ZeroTier and UniFi. It enables automated device discovery, multi-hop access path visualization, and infrastructure troubleshooting through the Model Context Protocol.