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MCP工具

VAST Data集群管理工具

基于 Python · 让 AI 助手直接操作你的系统与工具
英文名:vast-admin-mcp
⭐ 11 Stars 🍴 4 Forks 💻 Python 📄 NOASSERTION 🏷 AI 7.5分
7.5AI 综合评分
adminaiclimcpmcp-serverpython
⚙️ 配置说明
✦ AI Skill Hub 推荐

AI Skill Hub 推荐使用:VAST Data集群管理工具 是一款优质的MCP工具。AI 综合评分 7.5 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。

📚 深度解析

VAST Data集群管理工具 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 VAST Data集群管理工具,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。VAST Data集群管理工具 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 VAST Data集群管理工具 评为 AI 评分 7.5 分,属于同类工具中的优质选择。

📋 工具概览

监控、管理和诊断VAST Data集群的开源服务器,提高集群管理效率和可靠性。

VAST Data集群管理工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

GitHub Stars
⭐ 11
开发语言
Python
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
NOASSERTION
AI 综合评分
7.5 分
工具类型
MCP工具
Forks
4

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

监控、管理和诊断VAST Data集群的开源服务器,提高集群管理效率和可靠性。

VAST Data集群管理工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/vast-data/vast-admin-mcp

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "vast-data------": {
      "command": "npx",
      "args": ["-y", "vast-admin-mcp"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 VAST Data集群管理工具 执行以下任务...
Claude: [自动调用 VAST Data集群管理工具 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入:"列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "vast_data______": {
      "command": "npx",
      "args": ["-y", "vast-admin-mcp"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 79/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

VAST Admin MCP Server

PyPI Version Python Version Docker Image License

VAST Admin MCP Server is a Model Context Protocol (MCP) server for VAST Data administration tasks. It provides AI assistants with tools to interact with VAST clusters for monitoring, listing, and management operations. It is supported both for Cluster and Tenant admins.

<img src="static/vast-admin-mcp-fast.gif" alt="VAST Admin MCP Demo" width="90%">

Features

  • MCP Integration: Full MCP server implementation for AI assistant integration
  • Network Deployment: HTTP transport for remote access, Kubernetes, and containerized deployments
  • Cluster Management: List and monitor VAST clusters
  • Performance Metrics: Retrieve performance data for cluster objects and graphs generation
  • Dynamic List Functions: Automatically generate MCP functions from YAML templates for end user modifications
  • Secure Credentials: Secure password storage using keyring, with K8s Secrets API support
  • Authentication: Bearer token and OAuth/OIDC support for network deployments
  • Read-only and Read-write Modes: Control access level (read-write mode for create operations)

Prerequisites

  • Python 3.10+
  • jq: Command-line JSON processor (required for field transformations in YAML templates)

Installing jq

macOS:

brew install jq

Linux (Ubuntu/Debian):

sudo apt-get install jq

Linux (RHEL/CentOS):

sudo yum install jq

Optional Dependencies

```bash

All optional dependencies

pip install 'vast-admin-mcp[all]' ```

1. Install

Install vast-admin-mcp:

```bash

If installed via pip

pip install vast-admin-mcp

```

2. Initial Setup

Configure your VAST cluster connection:

```bash

If installed via pip

vast-admin-mcp setup

This will prompt you for: - Cluster address (IP, FQDN, or URL like https://host:port) - Username and password - Tenant (for tenant admins) - Tenant (for super admins - which tenant context to use) ```

Installation

Basic Installation

pip install vast-admin-mcp

HTTP server support (for network deployment)

pip install 'vast-admin-mcp[http]'

Docker Installation

Building the Docker Image

Quick Build (Recommended)

Use the provided build script that automatically handles versioning:

make build-docker

This will: - Extract version from src/vast_admin_mcp/__about__.py - Tag the image with both version number and latest - Add metadata labels (version, build date, git commit)

Manual Build

```bash

Simple build

docker build -t vast-admin-mcp:latest .

Build with version tags

VERSION=$(grep -E '^version' src/vast_admin_mcp/about.py | sed 's/version\s*=\s*"\([^"]*\)"/\1/') docker build \ --build-arg VERSION="${VERSION}" \ --build-arg BUILD_DATE="$(date -u +'%Y-%m-%dT%H:%M:%SZ')" \ --build-arg VCS_REF="$(git rev-parse --short HEAD)" \ -t vast-admin-mcp:${VERSION} \ -t vast-admin-mcp:latest \ . ```

Running CLI Commands in Docker

Option 1: Using the helper script (recommended)

```bash

Configuring MCP Server for Desktop LLMs (Docker)

When running mcpsetup inside Docker, it will automatically detect Docker and generate appropriate docker run or docker exec commands:

```bash

Inside Docker container

./vast-admin-mcp-docker.sh mcpsetup claude-desktop

Or using docker-compose

docker-compose exec app vast-admin-mcp mcpsetup claude-desktop


The generated configuration will use Docker commands that the host can execute, with proper volume mounts for configuration files.

**Environment Variables for Docker:**
- `DOCKER_CONTAINER_NAME`: Use existing container name (for `docker exec`)
- `DOCKER_IMAGE`: Docker image name (for `docker run`)
- `DOCKER_CONFIG_MOUNT`: Container path for config mount (default: `/root/.vast-admin-mcp`)
- `DOCKER_TEMPLATE_FILE`: Host path to custom template file (optional, for override)

**Example:**
bash

Set container name for docker exec mode

export DOCKER_CONTAINER_NAME=vast-admin-mcp ./vast-admin-mcp-docker.sh mcpsetup cursor

Or set image for docker run mode

export DOCKER_IMAGE=vast-admin-mcp:latest ./vast-admin-mcp-docker.sh mcpsetup claude-desktop

Network Deployment (HTTP)

By default, the MCP server uses stdio transport for desktop AI assistant integration. For network access (remote clients, Kubernetes, containerized deployments), you can run the server with HTTP transport.

Docker HTTP Mode

```bash

Kubernetes / OpenShift Deployment

Complete Kubernetes and OpenShift manifests are provided in deploy/kubernetes/. See the Kubernetes Deployment Guide for detailed instructions.

Quick Start

```bash

3. Deploy (HTTP)

kubectl apply -f deploy/kubernetes/vast-admin-mcp.yaml -n vast-admin-mcp

Setup Menu for HTTP Configuration

Run vast-admin-mcp setup to interactively configure HTTP server settings:

```

Install PySocks for SOCKS proxy support

pip install 'vast-admin-mcp[socks]'

Quick Start

Prompt Examples

#### For Read-only mode

List all VAST clusters 
List all views on cluster cluster1
Show me all tenants across all clusters
Create bandwidth and iops graph for cluster1 over the last hour
create dataflow diagram for cluster1 for /path view on the tenant3 tenant for the last hour 
show me dataflow diagram for 172.21.224.139 on cluster1
Show me the hardware topology for cluster cluster1 
Are there any issues with my configured data protection relationships ? 
Create mini support bundle on cluster1 and name it bundle1. Timeframe should be yesterday at midnight for 4m. Generate it only for cnodes prefixed by cnode-128 and upload it to support without private data.
Find all users prefixed with "s3" on cluster cluster1 tenant tenant1
Are there any critical alerts on my clusters that were not acknoledged ?
List all snapshots for view path /data/app1 on cluster cluster1 tenant tenant1
Show me all quotas configured for tenant tenant1 on cluster cluster1
Get performance metrics for cnodes on cluster cluster1 over the last 7 day
Show me all view policies on cluster cluster1 that support S3 
First, get all available clusters. Then compare views with path "/" across all clusters, showing capcity information
Show me all tenants on cluster cluster1, for each tenant show me the 5 views with the highest used capacity
Get performance metrics for cluster cluster1, then get metrics for all cnodes, and finally get metrics for top 3 views. Show me a summary of IOPS and bandwidth for each object type
Find all views where logical used capacity is greater than 1TB. For each of these views, get their performance metrics over the last 24 hours and show which views have the highest IOPS
#### For Read-write mode
Create a new NFS view on cluster cluster1 with path /data/newview in tenant tenant1
Create a view on cluster cluster1 with path /shared/data in tenant tenant1 that supports both NFS and S3 protocols
Create a snapshot named "backup-2024-01-15" for view path /data/app1 on cluster cluster1, tenant tenant1 and keep it for 24h
Create a clone from snapshot "backup-2024-01-15" of view /data/app1. The clone should be at path /data/app1-clone in tenant tenant1 on cluster cluster1
Set a hard quota of 10TB for view path /data/app1 on cluster cluster1, tenant tenant1
Create 3 new views for vmware based on template. 
Create a indestructible snapshot named resrote-point_<view name> for all vmware views on cluster1 
Refresh a clone from most recent snapshot of view /data/app1 at path /data/app1-clone in tenant tenant1 on cluster cluster1

3. Configure MCP Server in you AI assistance

Use mcpsetup to get instructions for common AI assistance tools:

```bash

Optional: Set version (defaults to 0.1.3)

export VERSION=0.2.3

Select option 5: Configure HTTP server settings

Select option 2 or 3 for OAuth configuration

```

Supports: - Built-in providers: GitHub, Google, Azure AD - Generic OAuth/OIDC: Okta, Keycloak, Auth0, or any OIDC-compliant provider

With custom options

vast-admin-mcp gencert --cn mcp.example.com --days 365

2. Edit vast-admin-mcp.yaml with your credentials and cluster config

VAST Admin MCP - Configuration Management

HTTP Server: Disabled

Available options: 5. Configure HTTP server settings 6. Manage authentication token ```

Option 5 allows you to configure: - Enable/disable HTTP server - Host, port, and URL path - Authentication (bearer token, OAuth, or none) - SSL/TLS (existing certs, generate self-signed, or none)

Option 6 allows you to: - Generate new authentication tokens - View or export current token - Rotate tokens

Configuration

  • Config File: ~/.vast-admin-mcp/config.json (cluster configurations, no env var override)
  • Default Template File: mcp_list_cmds_template.yaml in project root (shipped template)
  • Template Modifications File: ~/.vast-admin-mcp/mcp_list_template_modifications.yaml (user customizations)
  • View Templates File: ~/.vast-admin-mcp/view_templates.json (for view template-based creation). This file can be modified based on the template example view_templates_example.yaml in project root (shipped template)
  • Log Files: ~/.vast-admin-mcp/vast_admin_mcp.log

Environment Variables

Authentication

  • VAST_ADMIN_MCP_AUTH_TOKEN: Bearer token for HTTP authentication
export VAST_ADMIN_MCP_AUTH_TOKEN="vamt_your-secure-token"
vast-admin-mcp mcp --transport http --host 0.0.0.0

Template File Paths

Template file paths can be overridden using environment variables:

  • VAST_ADMIN_MCP_DEFAULT_TEMPLATE_FILE: Override default template file path
  • VAST_ADMIN_MCP_TEMPLATE_MODIFICATIONS_FILE: Override template modifications file path
  • VAST_ADMIN_MCP_VIEW_TEMPLATE_FILE: Override view templates file path

Example:

export VAST_ADMIN_MCP_DEFAULT_TEMPLATE_FILE=/custom/path/default_template.yaml
export VAST_ADMIN_MCP_TEMPLATE_MODIFICATIONS_FILE=/custom/path/modifications.yaml
export VAST_ADMIN_MCP_VIEW_TEMPLATE_FILE=/custom/path/view_templates.json
vast-admin-mcp list views

Proxy Configuration

The server supports HTTP/HTTPS and SOCKS proxies for reaching VAST clusters through corporate or enterprise network environments. Proxies are configured via standard environment variables:

  • HTTPS_PROXY or https_proxy — highest precedence (recommended for VAST since the API uses HTTPS)
  • HTTP_PROXY or http_proxy — fallback
  • ALL_PROXY or all_proxy — catch-all, recommended for SOCKS proxies

Bypassing the proxy (NO_PROXY):

Use NO_PROXY (or no_proxy) to list hosts that should connect directly, without going through the proxy. Separate multiple entries with commas. A wildcard * bypasses the proxy for all hosts.

```bash

Configuration

The whitelist is defined in the YAML template file:

api_whitelist:
  # Simple format - GET only
  - clusters
  - tenants
  
  # With methods - GET + specified methods
  - views: [post]  # GET + POST for create operations
  - snapshots: [post]  # GET + POST for create operations
  - quotas: [post, patch]  # GET + POST + PATCH for create/update operations

Run any CLI command

./vast-admin-mcp-docker.sh clusters ./vast-admin-mcp-docker.sh list views --cluster cluster1 ./vast-admin-mcp-docker.sh setup ./vast-admin-mcp-docker.sh mcpsetup cursor


#### Option 2: Using docker run directly
bash

API Whitelist

The API whitelist provides security by restricting which VAST API endpoints and HTTP methods can be accessed. It is configured in the YAML template file's api_whitelist section.

Add additional Subject Alternative Names

vast-admin-mcp gencert --san mcp.example.com --san 192.168.1.100


#### Use with HTTP Server
bash vast-admin-mcp mcp --transport http --host 0.0.0.0 \ --ssl-cert ~/.vast-admin-mcp/ssl/cert.pem \ --ssl-key ~/.vast-admin-mcp/ssl/key.pem ```

🎯 aiskill88 AI 点评 A 级 2026-06-12

该项目提供了一个开源的MCP工具,用于管理和监控VAST Data集群,提高集群管理效率和可靠性,值得关注

⚡ 核心功能

👥 适合人群

Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师

🎯 使用场景

  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站

⚖️ 优点与不足

✅ 优点
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

该工具使用 NOASSERTION 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

📄 NOASSERTION — 请查阅原始协议条款了解具体使用限制。

🔗 相关工具推荐

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❓ 常见问题 FAQ

解答
💡 AI Skill Hub 点评

总体来看,VAST Data集群管理工具 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。

⬇️ 获取与下载
📚 深入学习 VAST Data集群管理工具
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 vast-admin-mcp
Topics adminaiclimcpmcp-serverpython
GitHub https://github.com/vast-data/vast-admin-mcp
License NOASSERTION
语言 Python
🔗 原始来源
🐙 GitHub 仓库  https://github.com/vast-data/vast-admin-mcp 🌐 官方网站  https://pypi.org/project/vast-admin-mcp/

收录时间:2026-06-12 · 更新时间:2026-06-12 · License:NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。