svc-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@svc-mcp-serverList all volumes"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
SVC MCP Server
IBM SAN Volume Controller (SVC) 用の Model Context Protocol (MCP) サーバーです。 このサーバーを使用すると、IBM Bob などの AI アシスタントから SVC ストレージシステムを操作できます。
機能
このMCPサーバーは以下の操作をサポートしています:
システムステータス確認 (
check_system_status): SVCシステムの状態を確認(lssystemコマンドを実行)汎用コマンド実行 (
execute_svc_command): 任意のSVC CLIコマンドを直接実行できる汎用ツール。lsvdisk、lshost、mkvdiskなど、あらゆるSVCコマンドに対応
Related MCP server: IBM Storage Insights MCP Server
前提条件
Node.js 18以上
npm または yarn
IBM SVC へのSSHアクセス権限
インストール
リポジトリをクローン:
git clone <repository-url>
cd svc-mcp-server依存関係をインストール:
npm installプロジェクトをビルド:
npm run build設定方法
1. 環境変数の設定
.env.template をコピーして .env ファイルを作成します:
cp .env.template .env.env ファイルを編集して、SVC接続情報を設定します:
# SVC ホスト名またはIPアドレス(必須)
SVC_HOST=your-svc-host.example.com
# SVC SSHポート(デフォルト: 22)
SVC_PORT=22
# SVC SSH ユーザー名(デフォルト: superuser)
SVC_USERNAME=superuser
# SVC SSH パスワード(パスワード認証を使用する場合)
SVC_PASSWORD=your-password
# SVC SSH 秘密鍵のパス(鍵認証を使用する場合)
SVC_PRIVATE_KEY_PATH=/path/to/svc/private/key
# SSHプロキシ設定(SSHトンネル経由で接続する場合)
SVC_PROXY_HOST=proxy.example.com
SVC_PROXY_PORT=22
SVC_PROXY_USERNAME=proxy-user
SVC_PROXY_PASSWORD=proxy-password
SVC_PROXY_PRIVATE_KEY_PATH=/path/to/proxy/private/keySVC認証方法:
パスワード認証:
SVC_PASSWORDを設定鍵認証:
SVC_PRIVATE_KEY_PATHを設定どちらか一方を設定してください
SSHプロキシ認証方法:
パスワード認証:
SVC_PROXY_PASSWORDを設定鍵認証:
SVC_PROXY_PRIVATE_KEY_PATHを設定どちらか一方を設定してください
プロキシを使用しない場合は、これらの設定を省略できます
2. IBM Bob での設定
IBM Bob の設定ファイル(.bob/mcp.json)を作成します:
cp .bob/mcp.json.example .bob/mcp.json.bob/mcp.json を編集して、SVC接続情報を設定します:
{
"mcpServers": {
"svc": {
"command": "node",
"args": ["${PWD}/build/index.js"],
"env": {
"SVC_HOST": "your-svc-hostname",
"SVC_PORT": "22",
"SVC_USERNAME": "superuser",
"SVC_PASSWORD": "your-password",
"SVC_PRIVATE_KEY_PATH": "/path/to/svc/private/key",
"SVC_PROXY_HOST": "your-proxy-hostname",
"SVC_PROXY_PORT": "22",
"SVC_PROXY_USERNAME": "proxy-username",
"SVC_PROXY_PASSWORD": "proxy-password",
"SVC_PROXY_PRIVATE_KEY_PATH": "/path/to/proxy/private/key"
}
}
}
}SSHプロキシについて:
このMCPサーバーは、SSHトンネル(ポートフォワーディング)を使用してプロキシ経由でSVCに接続します
プロキシサーバーへのSSH接続が確立された後、そのトンネルを通じてSVCへ接続します
プロキシ認証は、パスワード認証または鍵認証のどちらかを使用できます
プロキシを使用しない場合は、プロキシ関連の設定を省略してください
または、.env ファイルを使用する場合(環境変数が自動的に読み込まれます):
{
"mcpServers": {
"svc": {
"command": "node",
"args": ["${PWD}/build/index.js"]
}
}
}3. IBM Bob を再起動
設定を反映するため、IBM Bob を再起動してください。
使用方法
IBM Bob で以下のようなプロンプトを使用できます:
システムステータスの確認
SVCシステムのステータスを確認してくださいボリューム操作
すべてのボリュームをリストアップしてくださいpool1に100GBのボリュームを作成してください。名前はtest_vol01ですtest_vol01という名前のボリュームの詳細情報を表示してくださいホスト管理
登録されているすべてのホストを表示してくださいhost1という名前のホストの詳細情報を確認してくださいその他の操作
最新のイベントログを表示してくださいすべてのストレージプールの使用状況を確認してください注意: execute_svc_command ツールを使用することで、上記以外のあらゆるSVC CLIコマンドを実行できます。IBM Bobに自然言語で指示すると、適切なSVCコマンドに変換して実行します。
開発
ビルド
npm run build実行
npm startトラブルシューティング
接続エラー
SVC_HOSTが正しく設定されているか確認ネットワーク接続を確認
SSHプロキシを使用する場合:
SVC_PROXY_HOSTとSVC_PROXY_PORTが正しく設定されているか確認プロキシへのSSH接続が可能か確認(
ssh user@proxy-hostでテスト)プロキシ認証情報(パスワードまたは秘密鍵)が正しいか確認
プロキシサーバーからSVCホストへの接続が許可されているか確認
認証エラー
ユーザー名とパスワード/秘密鍵が正しいか確認
SSH接続が許可されているか確認
コマンド実行エラー
SVCユーザーに適切な権限があるか確認
コマンド構文が正しいか確認
セキュリティに関する注意
.envファイルは.gitignoreに含まれており、Gitリポジトリにコミットされませんパスワードや秘密鍵は安全に管理してください
本番環境では、秘密鍵認証の使用を推奨します
注意事項
本コードは現状有姿(AS-IS)で公開しており、動作保証はありません。検証環境等で十分テストの上、自己責任でご利用ください
Available Tools
2 toolscheck_system_statusC
Check SVC system status (lssystem)
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only reveals the underlying command (lssystem) but does not state whether this operation is read-only, requires authentication, or has any side effects. The agent has no information on consequences.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short but fits the tool's simplicity. It front-loads the action and mentions the underlying command. It could be slightly more self-contained without relying on the parentheses notation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple status check tool, the description provides adequate purpose but lacks context on output/return values, whether the command can fail, and how it differs from the sibling tool. An agent would have to guess the output format.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and schema coverage is 100%, so there is little for the description to add. The description confirms the tool takes no input, which is useful. A baseline of 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states that the tool checks system status, which is a clear verb-resource combination. However, it does not distinguish this from its sibling tool 'execute_svc_command' – both could plausibly be used to run a command like lssystem, creating ambiguity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus 'execute_svc_command'. Without any usage context, an agent cannot determine whether this tool is safer, more limited, or preferred for read-only queries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
execute_svc_commandC
Execute any SVC CLI command. This is a generic tool that allows you to run any SVC command directly.
| Name | Required | Description | Default |
|---|---|---|---|
| command | Yes | The SVC CLI command to execute (e.g., "lsvdisk", "lshost", "mkvdisk -mdiskgrp pool0 -size 10 -unit gb -name vol1") |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavioral traits such as destructive potential, authentication requirements, output format, and error behavior. It only says 'execute any SVC CLI command', which implies high risk but does not warn about possible destructive actions (e.g., 'rmvolume', 'rmhost') or output variability. This is a critical gap for a generic execution tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short (two sentences) and front-loaded. It wastes no words, though one sentence could be removed by merging the two.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool executes arbitrary CLI commands with no output schema and no behavioral transparency, the description is insufficient. It should cover safety warnings, expected output, required permissions, and when to prefer the sibling tool. The current text does not meet the needs of an agent deciding whether to invoke this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the parameter is fully documented in the schema. The description only adds the phrase 'any SVC command' which is already conveyed by the schema's dynamic example. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool executes SVC CLI commands and highlights its generic nature. It differentiates from check_system_status by being a catch-all execution tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus check_system_status, nor does it mention any prerequisites, limitations, or when alternatives should be preferred. The agent is left without usage boundaries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
2 tool updates
v1.0.0- First observed
check_system_status - First observed
execute_svc_command
TDQS
The two tools have clearly distinct purposes: one checks overall system status, and the other executes arbitrary SVC commands. There is no ambiguity between them.
Both tools use a verb_noun pattern (check_system_status, execute_svc_command) which is consistent. Minor deviation is that the noun phrases are of different lengths, but it's still readable.
With only 2 tools, the server feels underdeveloped for any practical SVC management use case. While a check + generic execute pattern can work in principle, it suggests the tool surface is very thin.
The generic execute_svc_command tool compensates for missing specific operations, but the server lacks dedicated tools for common tasks like listing volumes, managing hosts, or creating storage pools. The set is not complete for typical SVC administration workflows.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
Provides capabilities that let LLM agents perform a range of infrastructure management tasks.
Manage Rackspace Spot Kubernetes Cloudspaces, node pools, and VMs from your AI assistant.
- emisarOAuthdev.emisar
Let AI operate servers without SSH. Choose actions, approve risky changes, and audit every step.
Protocol-native energy infrastructure orchestration for AI data centers. Provides 46 MCP tools across 8 grid protocols (IEC-61850, DNP3, Modbus, OCPP, OpenADR, IEEE 2030.5, IEC 60870-5-104, ICCP) with 5 core API primitives: connect, dispatch, settle, comply, and intel. Enables AI agents to programmatically interact with substations, grid interfaces, and energy assets for real-time workload-grid coordination.
Related MCP Servers
- AlicenseAqualityCmaintenanceEnables AI assistants to securely connect to and manage remote servers via SSH, supporting command execution, file transfers via SFTP, and multi-server management with both password and SSH key authentication.9562MIT

IBM Storage Insights MCPofficial
AlicenseNot gradedqualityDmaintenanceEnables AI agents to integrate with IBM Storage Insights for seamless observability and diagnosis of registered storage assets. It provides tools to retrieve alerts, performance metrics, and system configurations via the IBM Storage Insights External APIs.9Apache 2.0- AlicenseNot gradedqualityFmaintenanceEnables AI assistants to execute commands and transfer files on remote servers over SSH connections.1MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to securely execute commands, transfer files, and manage port forwarding on remote servers via SSH.16836Apache 2.0
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/cu0001/svc-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server