Linode MCP Server
리노드 MCP 서버
클라우드 리소스를 관리하기 위해 Linode API와 상호 작용하는 모델 컨텍스트 프로토콜(MCP) 서버입니다. 이 패키지를 사용하면 Claude와 같은 대용량 언어 모델(LLM)이 표준화된 인터페이스를 통해 Linode 인스턴스를 관리할 수 있습니다.
특징
Linode 지역, 인스턴스 유형 및 인스턴스 나열
Linode 인스턴스를 생성, 세부 정보 보기, 삭제 및 재부팅합니다.
LLM이 Linode 리소스를 관리할 수 있는 안전하고 사용하기 쉬운 인터페이스
Claude와 같은 MCP 지원 AI 어시스턴트와 완벽하게 호환됩니다.
Related MCP server: Hetzner Cloud MCP Server
설치 및 구성
Linode API 키를 환경 변수로 설정하세요.
지엑스피1
또는 프로젝트 디렉토리에 있는 .env 파일을 사용하세요.
LINODE_API_KEY=your_api_key_hereLinode Cloud Manager 에서 API 키를 생성할 수 있습니다.
PyPI에서 (권장)
pip install linode-mcpuv를 사용하여
uvx pip install linode-mcp
uvx linode-mcp --api-key $LINODE_API_KEY출처에서
# Clone the repository
git clone https://github.com/yourusername/linode-mcp.git
cd linode-mcp
# Install the package in development mode
./scripts/install.sh용법
명령줄 도구로
# Run with default settings
linode-mcp
# Enable debug logging
linode-mcp --debug
# Specify API key on command line
linode-mcp --api-key your_api_key_here데스크톱용 Claude와 함께
패키지를 설치하세요:
pip install linode-mcpClaude Desktop 구성 파일을 수동으로 편집하세요.
MacOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
{ "mcpServers": { "linode": { "command": "linode-mcp", "args": ["--api-key", "your_api_key_here"] } } }데스크톱용 Claude 재시작
Claude와의 대화에서 이제 다음과 같은 질문을 할 수 있습니다.
Linode 인스턴스 나열
새로운 Linode 인스턴스를 만듭니다
특정 인스턴스에 대한 세부 정보 가져오기
인스턴스를 재부팅하거나 삭제합니다.
예시 프롬프트:
"내 모든 Linode 인스턴스를 보여주세요"
"Debian 11을 사용하여 프랑크푸르트 지역에 새로운 2GB Linode를 만듭니다"
"ID 12345로 인스턴스를 재부팅합니다."
사용 가능한 도구
이 패키지에는 다음과 같은 MCP 도구가 제공됩니다.
list_regions- 사용 가능한 모든 Linode 지역 나열
추가할 내용:
list_instance_types- 사용 가능한 모든 Linode 인스턴스 유형과 가격을 나열합니다.list_instances- 기존 Linode 인스턴스를 모두 나열합니다.create_instance- 새로운 Linode 인스턴스를 생성합니다get_instance- 특정 Linode 인스턴스에 대한 세부 정보 가져오기delete_instance- Linode 인스턴스 삭제reboot_instance- Linode 인스턴스를 재부팅합니다.
개발
프로젝트 구조
linode-mcp/
├── bin/ # Command-line scripts
├── src/ # Source code
│ └── linode_mcp/ # Main package
│ ├── tools/ # MCP tool implementations
│ └── server.py # MCP server implementation
├── setup.py # Package setup file
└── README.md # This file기여하다
기여를 환영합니다! 풀 리퀘스트를 제출해 주세요.
저장소를 포크하세요
기능 브랜치를 생성합니다(
git checkout -b feature/amazing-feature)변경 사항을 커밋하세요(
git commit -m 'Add some amazing feature')브랜치에 푸시(
git push origin feature/amazing-feature)풀 리퀘스트 열기
특허
이 프로젝트는 MIT 라이선스에 따라 라이선스가 부여되었습니다. 자세한 내용은 라이선스 파일을 참조하세요.
감사의 말
클라우드 인프라 API를 제공하는 Linode API
표준 인터페이스 사양을 위한 모델 컨텍스트 프로토콜
AI 어시스턴트 기능을 위한 클로드
Available Tools
1 toollist_regionsA
List all available Linode regions
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description implies a read-only operation, but does not explicitly state behavioral traits such as idempotency, caching, or rate limits. With no annotations, this is adequate for a simple list 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 a single sentence with five words, perfectly concise and front-loaded. No unnecessary information.
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 trivial nature (no parameters, simple list operation, output schema exists), the description provides complete context for an agent to use the tool correctly.
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 no parameters, so schema coverage is 100%. The description does not need to add parameter details. Baseline score of 4 applies.
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 action ('List') and the resource ('all available Linode regions'), with no ambiguity. There are no sibling tools to distinguish from, so the purpose is precisely conveyed.
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 implies use when a full list of regions is needed, but does not explicitly state when to use or not use it, nor provide alternatives. Given no siblings, this is acceptable but not maximally helpful.
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.
1 tool update
v1.0.0- Changed
list_regions1 field changed- added
Input schema / titleAdded value: +"list_regionsArguments"
1 tool update
- First observed
list_regions
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'list_regions' has a clear and distinct purpose that cannot be confused with any other tool in this set.
The naming follows a consistent verb_noun pattern ('list_regions'), and with only one tool, there is no inconsistency to evaluate. The pattern is clear and predictable for any potential future tools.
A single tool is too few for a server named 'Linode MCP Server', which implies broader cloud management capabilities. This feels thin and incomplete for managing Linode resources, as it only covers region listing without any operations for instances, volumes, networking, or other core features.
The tool surface is severely incomplete for a Linode server. It only lists regions, missing essential CRUD operations for instances, volumes, networking, DNS, and other Linode services. This leaves significant gaps that will cause agent failures in typical cloud management tasks.
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