Ceph MCP Server

Ceph MCP Server – Overview

The Ceph MCP Server bridges the gap between AI assistants and enterprise‑grade object storage. By exposing a Model Context Protocol (MCP) interface, it allows conversational agents to query and manipulate Ceph clusters through natural language commands. This eliminates the need for developers to write custom scripts or command‑line interactions, making storage operations accessible to a broader audience and enabling AI‑driven automation of routine tasks.

At its core, the server authenticates against the Ceph Manager API and translates high‑level queries into RESTful calls. The result is a set of four powerful tools: get_cluster_health, get_host_status, get_health_details, and get_host_details. Each tool returns structured, AI‑friendly JSON that can be embedded directly in a chat or used to trigger downstream workflows. The asynchronous, non‑blocking design ensures that multiple concurrent requests are handled efficiently, keeping latency low even in large clusters.

Key capabilities include comprehensive health monitoring, real‑time host status reporting, and detailed diagnostic data for troubleshooting. The server enforces secure communication by requiring authentication credentials and supporting optional SSL verification, protecting sensitive cluster information. Its configuration is driven entirely by environment variables, making it trivial to deploy in containerized or serverless environments while keeping secrets out of source code.

Typical use cases span both operational and development contexts. Operations teams can ask an AI assistant, “What’s the current health of my Ceph cluster?” and receive instant feedback on outages or degraded services. Developers can embed the MCP server in CI/CD pipelines to validate storage health before deploying new workloads, or integrate it into monitoring dashboards that surface alerts in natural language. The structured responses also enable downstream services—such as incident management or ticketing systems—to parse and act on the data automatically.

What sets this MCP server apart is its focus on usability for AI workflows. By providing pre‑built, semantically rich tools, it removes the cognitive load of crafting API calls. The server’s async architecture and rate‑limiting configuration ensure that it can scale with an organization’s needs without compromising performance. In short, the Ceph MCP Server turns complex storage administration into a conversational experience, empowering both developers and operators to work faster and smarter.