A production-ready Model Context Protocol (MCP) server designed to expose advanced ArangoDB operations to AI assistants such as Claude Desktop and Augment Code. Built with an async-first Python architecture and wrapping the official python-arango driver, it offers comprehensive graph management, flexible content conversion (JSON, Markdown, YAML, and Table), backup/restore capabilities, and graph analytics. The server provides 43 MCP tools across ten categories, including core data operations, indexing, query analysis, data validation, bulk operations, graph management, traversal, backup/restore, analytics, and MCP design-pattern tooling. It emphasizes type safety via Pydantic validation for all tool arguments and supports dual transport modes (stdio for desktop clients and HTTP for web or containerized deployments). Docker support enables isolated, reproducible deployments. The architecture envisions an MCP client interface, a Python-based MCP server, and a live ArangoDB instance, delivering production-grade retry logic, graceful degradation, and robust error handling. Documentation and examples cover installation, configuration, and common use cases such as codebase graph analysis and scalable graph operations in real-world apps.