# Hammerspace Storage Management MCP Server

> Use this tool when you need to manage and optimize Hammerspace storage clusters using natural language commands, automating tasks such as file ingestion and tier management. It solves problems related to data organization, processing, and analysis, supporting use cases like real-time file monitoring and multi-format document processing. Ideal for Kubernetes-based environments, it provides automated workflows and integration with Milvus for vector embedding generation.

Canonical page: https://skillsregistry.net/skills/mbloomhammerspace-mcp-1-5-main  
JSON: https://api.skillsregistry.net/v1/skills/mbloomhammerspace-mcp-1-5-main

## Description

Enables natural language management of Hammerspace storage clusters with automated file ingestion, tagging, tier management, and vector embedding generation. Supports real-time file monitoring, multi-format document processing, and Kubernetes-based ingestion workflows with Milvus integration.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/szsmeshijk)
- **Repository:** <https://github.com/mbloomhammerspace/mcp-1.5-main>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mbloomhammerspace-mcp-1-5-main"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mbloomhammerspace-mcp-1-5-main` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mbloomhammerspace-mcp-1-5-main/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt