mcp-mgccli
mcp-mgccli
mgc CLIを介してMagalu Cloudの読み取りクエリを実行するためのMCPサーバー。
7つのMCPツール(製品ごとに1つ)を公開し、listおよびget操作をカバーします。すべての認証はAPIキーを介して行われ、コード内に認証情報は含まれません。
要件
Related MCP server: cloud-chat-assistant
インストール
pip install -e /caminho/para/mcp-mgccli設定
サンプルファイルをコピーし、APIキーを入力してください:
cp .env.example .env.env:
MGC_API_KEY=sua-api-key-aqui
MGC_REGION=br-ne1 # opcional — br-ne1 ou br-se1
MGC_TIMEOUT=30 # opcional — timeout em segundos (default: 30)Claude Codeとの統合
サーバーは.envを読み込むstart-mcp.shを介して自動的に起動します。登録するには:
claude mcp add --scope user mgc /caminho/para/mcp-mgccli/start-mcp.shまたは、~/.claude.jsonに手動で追加します:
{
"mcpServers": {
"mgc": {
"command": "/caminho/para/mcp-mgccli/start-mcp.sh"
}
}
}Claude Desktopとの統合
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) または %APPDATA%\Claude\claude_desktop_config.json (Windows) を編集します:
{
"mcpServers": {
"mgc": {
"command": "/caminho/para/mcp-mgccli/start-mcp.sh"
}
}
}利用可能なツール
ツール | リソース |
| volumes, snapshots, volume-types, schedulers |
| instances, images, machine-types, snapshots |
| cluster, nodepool, flavor, version |
| instances, clusters, replicas, snapshots, engines, instance-types, parameter-groups |
| vpcs, security-groups, public-ips, ports, subnetpools, subnets¹, rules¹ |
| registries, repositories, images, proxy-caches |
| events, event-types |
¹ subnets と rules はサブソースであり、list には parent_id が必要です:
subnets list:parent_id=<vpc-id>rules list:parent_id=<security-group-id>
共通パラメータ
パラメータ | 型 | 説明 | |
| string | クエリ対象のリソース(上記の表を参照) | |
|
|
| 操作 |
| string | リソースID ( | |
| string |
| |
| string | 親リソースID ( |
リージョンの推論
Claudeは自然言語からリージョンを自動的に推論します:
言及 | リージョン |
"nordeste", "ne", "NE1" |
|
"sudeste", "se", "SE1" |
|
リージョンが言及されておらず、MGC_REGION も設定されていない場合、Claudeは実行前に確認します。
使用例
"Liste minhas VMs no nordeste"
"Quais volumes existem no sudeste?"
"Mostre detalhes do cluster Kubernetes abc-123"
"Liste os security groups da região br-ne1"
"Quais subnets existem na VPC 7211a812-f159-4757-a6ba-c09933a5f6d8?"
"Liste as regras do security group bf8743af-f14b-4f31-917e-8e8160cff838"開発
# instalar em modo editável
pip install -e .
# rodar testes
python -m pytest tests/ -vAvailable Tools
7 toolsauditB
Consulta eventos de Audit da Magalu Cloud (somente leitura).
Recursos: events, event-types. Audit é global — sem parâmetro de região.
| Name | Required | Description | Default |
|---|---|---|---|
| resource | Yes | ||
| action | Yes | ||
| id | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It correctly indicates read-only behavior and global scope, but lacks details on pagination, rate limits, or how the optional 'id' parameter affects behavior.
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 two sentences and contains no extraneous information. It is well-front-loaded but could add more details without becoming verbose.
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 existence of an output schema and the tool's simplicity, the description provides the essential scope (read-only, global). However, it lacks guidance on when to use 'list' vs 'get' or the role of 'id', leaving the agent with incomplete context.
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 0%, so the description must compensate. It partially does by listing the allowed resources, matching the 'resource' enum. However, it does not explain the 'action' or 'id' parameters, which are necessary for correct invocation.
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 it's for consulting Audit events (read-only) and lists the specific resources (events, event-types). This effectively distinguishes it from sibling tools which focus on other cloud services.
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 mentions it's read-only and global (no region parameter), providing some context. However, it does not explicitly state when to use this tool versus alternatives or provide exclusions, leaving room for ambiguity.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
block_storageD
| Name | Required | Description | Default |
|---|---|---|---|
| resource | Yes | ||
| action | Yes | ||
| id | No | ||
| region | No | ||
| expand | No | ||
| name | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
container_registryD
| Name | Required | Description | Default |
|---|---|---|---|
| resource | Yes | ||
| action | Yes | ||
| id | No | ||
| region | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
dbaasD
| Name | Required | Description | Default |
|---|---|---|---|
| resource | Yes | ||
| action | Yes | ||
| id | No | ||
| region | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kubernetesD
| Name | Required | Description | Default |
|---|---|---|---|
| resource | Yes | ||
| action | Yes | ||
| id | No | ||
| region | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
networkD
| Name | Required | Description | Default |
|---|---|---|---|
| resource | Yes | ||
| action | Yes | ||
| id | No | ||
| region | No | ||
| parent_id | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
virtual_machineD
| Name | Required | Description | Default |
|---|---|---|---|
| resource | Yes | ||
| action | Yes | ||
| id | No | ||
| region | No | ||
| expand | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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.
7 tool updates
v0.1.0- First observed
audit - First observed
block_storage - First observed
container_registry - First observed
dbaas - First observed
kubernetes - First observed
network - First observed
virtual_machine
TDQS
Scored across 7 tools
Six of the seven tools have no descriptions, making it impossible to distinguish their specific functions beyond the generic resource names. Only 'audit' has a description, but the others are ambiguous.
All tool names are single-word, lowercase nouns (e.g., 'audit', 'network'), following a consistent pattern. However, they lack verbs, which is unconventional for MCP tool naming.
With 7 tools, the count is reasonable for a cloud service provider's MCP interface, covering several major resource categories without being excessive.
The set covers core services like compute, storage, networking, and databases, but without descriptions, it's unclear what operations are available. The lack of detail suggests significant gaps in the tool surface.
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