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Pure Storage MCP Server

MCP Server

Real-time FlashBlade array insights via Model Context Protocol

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Updated Jul 1, 2025

About

A lightweight MCP server that retrieves real-time data from Pure Storage FlashBlade arrays, providing tools to query volumes, hosts, and other array metrics for integration with AI assistants.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Pure Storage Model Context Protocol Server

The Pure Storage MCP server bridges AI assistants with the real‑time state of Pure Storage FlashBlade arrays. It eliminates the need for custom API wrappers by exposing a single, well‑defined tool that can query any aspect of the array—volumes, hosts, performance metrics, and more—directly from an assistant’s conversation. This solves the common developer pain point of having to write, maintain, and secure separate integration code for each storage platform.

What the Server Does

When an AI assistant invokes the tool, the server translates the supplied command and arguments into a REST call against the FlashBlade API. The response is then formatted as a JSON object that the assistant can embed in its reply or use to trigger further actions. Because the server runs locally (or on a private network), it keeps credentials and data within the organization’s perimeter, addressing security concerns that arise when exposing storage APIs to external services.

Key Features

  • Unified Tool Interface – A single command accepts a variety of sub‑commands (e.g., , ) and arguments, making the API surface small but expressive.
  • Real‑Time Data Retrieval – Every request hits the FlashBlade API directly, ensuring that assistants always work with up‑to‑date information such as I/O rates or capacity usage.
  • Modular Design – The tool can be extended with additional sub‑commands or wrapped in other MCP servers, allowing teams to evolve the integration without rewriting client logic.
  • Secure Execution – Credentials are stored in a local configuration file, and the server runs in an isolated process, mitigating exposure of sensitive tokens.

Use Cases

  • Dynamic Documentation – An assistant can answer questions like “What is the free space on volume X?” by querying the array live, keeping help docs current without manual updates.
  • Operational Automation – Developers can build workflows where an assistant triggers alerts or remediation scripts when performance thresholds are exceeded, all via the tool.
  • DevOps Integration – Continuous‑integration pipelines can use the server to verify storage health before deploying new workloads, ensuring that capacity and I/O limits are respected.
  • Customer Support – Technical support agents can ask the assistant for real‑time host connectivity or replication status, reducing ticket resolution time.

Integration with AI Workflows

Because the server conforms to MCP specifications, any Claude or other MCP‑capable assistant can add it as a “tool” in its configuration. The assistant then treats like any other built‑in function: it can ask the user for clarification, pass parameters, and incorporate the returned JSON into its natural‑language response. This seamless integration allows developers to enrich conversational agents with deep storage insight without touching the assistant’s core codebase.

Standout Advantages

  • Zero‑Code AI Interaction – Developers need only configure the MCP server; no custom SDKs or API clients are required.
  • Security‑First Design – Local execution and credential isolation keep sensitive storage data out of public networks.
  • Extensibility – The modular tool architecture lets teams add new commands as FlashBlade features evolve, keeping the assistant’s capabilities in sync with the underlying platform.

In summary, the Pure Storage MCP server gives AI assistants instant, secure access to FlashBlade array data, enabling intelligent, context‑aware interactions that would otherwise demand bespoke integration work.