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Phrases MCP Server

by ronniemh
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

🤖 문구 MCP 서버

영감을 주는 명언을 관리하기 위한 우아하고 효율적인 MCP(모델 컨텍스트 프로토콜) 서버입니다. Claude for Desktop 및 기타 MCP 클라이언트와 완벽하게 통합되도록 설계되었습니다.

✨ 특징

  • 완벽한 구문 관리 - 구문을 쉽게 만들고, 읽고, 업데이트하고, 삭제하세요

  • 데스크톱 통합을 위한 Claude - Claude에서 직접 문구와 상호 작용하세요

  • 통합 모의 API - 테스트 및 개발을 위해 모의 API를 사용하세요

Related MCP server: PoetryQuill Analytics MCP

🛠️ 사용 가능한 도구

서버는 다음과 같은 MCP 도구를 제공합니다.

도구

설명

get-all-phrases

사용 가능한 모든 구문을 가져옵니다

get-phrase-by-id

ID로 구문 검색

get-phrase-by-name

작성자 이름으로 문구 검색

create-phrase

새로운 문장을 만들어 보세요

update-phrase

기존 문장의 텍스트를 업데이트합니다

delete-phrase

ID로 구문 삭제

🚀 설치

지엑스피1

🔌 데스크톱용 Claude 설정

  1. 데스크탑용 Claude 설치(최신 버전이 있는지 확인하세요)

  2. 이 MCP 서버를 사용하도록 데스크톱용 Claude를 구성하세요.

    다음 위치에서 구성 파일(MAC/Linux)을 엽니다.

    ~/Library/Application Support/Claude/claude_desktop_config.json

  3. 서버 구성 추가:

    {
    "mcpServers": {
        "phrases": {
            "command": "node",
            "args": [
                "/RUTA_ABSOLUTA_A/phrases/build/index.js"
            ]
        }
    }
}

  4. 데스크톱용 Claude를 다시 시작하세요

💡 클로드와 함께 사용하세요

구성이 완료되면 Claude for Desktop에서 직접 문구와 상호 작용할 수 있습니다.

  • "사용 가능한 모든 구문을 보여주세요"

  • "[저자 이름]의 인용문 찾기"

  • "[이름]에 대해 [텍스트]라고 말하는 새 문장을 만듭니다."

  • ID [번호]의 문구를 [새 텍스트]로 업데이트합니다.

  • ID [번호]의 문구를 삭제하세요.

🧪 테스트

⚠️ 중요: 테스트 설정

테스트를 실행하기 전에 tsconfig.json 파일을 일시적으로 수정해야 합니다. compilerOptions 섹션을 다음으로 변경합니다.

"compilerOptions": {
  "target": "ES2020",
  "module": "NodeNext",
  "moduleResolution": "NodeNext",
  "esModuleInterop": true,
  "outDir": "build",
  "strict": true
}

참고 : MCP 서버 빌드가 제대로 작동하도록 테스트한 후에는 원래 구성으로 되돌리는 것을 잊지 마세요.

테스트를 실행하려면:

npm run test:requests

이 명령은 모의 API를 사용하여 문장을 만들고, 읽고, 업데이트하고, 삭제하는 일련의 테스트를 실행합니다.

🏗️ 프로젝트 구조

src/
├── helpers/
│   └── makeMockAPIRequest.ts  # Funciones de ayuda para interactuar con la API
├── index.ts                   # Punto de entrada principal y definición de herramientas
└── testRequest.ts             # Script para probar las funciones de la API

🔄 개발 워크플로

  1. src/ 의 코드를 수정하세요

  2. npm run build 로 컴파일

  3. npm run test:requests 로 테스트해 보세요.

  4. 변경 사항을 적용하려면 데스크톱용 Claude를 다시 시작하세요.

🔍 MockAPI 구성

이 프로젝트에서는 MockAPI를 백엔드로 사용하여 문구를 저장하고 관리합니다. 구성된 기본 URL은 다음과 같습니다.

https://67ec86aeaa794fb3222e0682.mockapi.io/frases/api/v1/user

자신의 MockAPI 인스턴스 설정

  1. MockAPI 에 계정을 만드세요

  2. 새 프로젝트를 만듭니다

  3. 다음 필드를 사용하여 user 라는 리소스를 만듭니다.

    • id (숫자, 자동 생성)

    • name (문자열)

    • phrase (문자열)

  4. API URL을 복사하세요

  5. src/helpers/makeMockAPIRequest.ts 파일에서 BASE_URL 상수를 업데이트합니다.

// Cambia esta línea con tu propia URL de MockAPI
const BASE_URL = "https://tu-proyecto.mockapi.io/tu-path/user";

📝 추가 참고 사항

  • 이 서버는 모의 API를 사용하여 데이터를 저장합니다. 운영 환경에서는 실제 데이터베이스를 구현하는 것을 고려해보세요.

  • 프로젝트 구조는 더 나은 유지 관리를 위해 공식 MCP 가이드라인을 따릅니다.

  • Mock API를 사용하는 데 문제가 발생하면 MockAPI 무료 사용 한도를 확인하세요.

📄 라이센스

아이에스씨

Available Tools

6 tools
create-phraseC

Creates a new phrase for an author.

ParametersJSON Schema
NameRequiredDescriptionDefault
nameYesAuthor name
phraseYesPhrase text

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'creates a new phrase,' implying a write operation, but doesn't cover critical aspects like permissions needed, whether the operation is idempotent, error handling, or what happens on success (e.g., returns a phrase ID). This leaves significant gaps in understanding the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity as a creation operation with no annotations and no output schema, the description is incomplete. It fails to explain what the tool returns (e.g., a phrase ID or confirmation), error conditions, or behavioral nuances, making it inadequate for safe and effective use by an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, with clear documentation for both parameters ('name' as author name and 'phrase' as phrase text). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline score of 3 without compensating for any gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('creates') and resource ('a new phrase for an author'), making the purpose understandable. However, it doesn't explicitly distinguish this tool from its sibling 'update-phrase' (which might modify existing phrases) or clarify what constitutes a 'phrase' in this context, preventing a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 alternatives like 'update-phrase' for modifying phrases or 'get-phrase-by-name' for retrieval. It also lacks prerequisites, such as whether the author must exist or if authentication is required, leaving usage context unclear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

delete-phraseC

Deletes a phrase by its ID.

ParametersJSON Schema
NameRequiredDescriptionDefault
idYesPhrase ID to delete

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Deletes' which implies a destructive, irreversible mutation, but doesn't specify permissions required, side effects (e.g., if deletion cascades to related data), error handling, or confirmation steps. For a destructive tool with zero annotation coverage, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with zero wasted words. It's front-loaded with the core action and resource, making it highly efficient and easy to parse. Every word earns its place, achieving optimal conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given this is a destructive mutation tool with no annotations and no output schema, the description is incomplete. It lacks critical context: what happens upon deletion (e.g., success response, error messages), any dependencies, or behavioral nuances. The agent is left guessing about the tool's full impact and results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, with the 'id' parameter fully documented as 'Phrase ID to delete'. The description adds no additional meaning beyond this, such as format examples or constraints not in the schema. With high schema coverage, the baseline score of 3 is appropriate as the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Deletes') and the resource ('a phrase by its ID'), making the purpose immediately understandable. It distinguishes itself from siblings like 'create-phrase' and 'update-phrase' by specifying deletion. However, it doesn't explicitly mention what 'phrase' refers to in the context, which could be slightly more specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 alternatives. It doesn't mention prerequisites (e.g., needing an existing phrase ID), exclusions (e.g., not for bulk deletion), or comparisons to siblings like 'update-phrase' for modifications. This leaves the agent without context for tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get-all-phrasesC

Returns a list of all phrases.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

C2.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the action of returning a list, without details on permissions, rate limits, pagination, or error handling. For a read operation with zero annotation coverage, this is insufficient to inform the agent about how the tool behaves beyond basic output.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, 'Returns a list of all phrases,' which is efficient and front-loaded with the core action. It avoids unnecessary words, but could be slightly more informative (e.g., clarifying scope) without losing conciseness. Overall, it earns its place without waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is minimal but incomplete. It lacks context on what 'phrases' entail, how the list is structured, or any behavioral traits. For a tool with siblings offering filtered retrieval, more completeness is needed to guide effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description does not add parameter details, which is appropriate here. A baseline of 4 is applied as it adequately handles the lack of parameters without introducing confusion or redundancy.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'Returns a list of all phrases,' which clearly indicates its function as a retrieval operation. However, it lacks specificity about what 'phrases' are (e.g., linguistic phrases, database entries) and does not differentiate from sibling tools like 'get-phrase-by-id' or 'get-phrase-by-name,' making it vague in context. It avoids tautology by not merely restating the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 alternatives. The description does not mention scenarios like retrieving all phrases at once versus filtered lookups, prerequisites, or exclusions. With siblings like 'get-phrase-by-id' for specific queries, the lack of usage context leaves the agent without clear direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get-phrase-by-idC

Returns a phrase by its ID.

ParametersJSON Schema
NameRequiredDescriptionDefault
idYesPhrase ID

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the basic action ('Returns a phrase') without addressing critical aspects like error handling (e.g., what happens if the ID doesn't exist), permissions, rate limits, or return format. This leaves significant gaps for a read operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded with the core action and resource, making it easy to parse quickly without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what a 'phrase' entails (e.g., text, metadata), how results are structured, or error scenarios. For a tool with no structured behavioral data, this minimal description leaves too much undefined.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, clearly documenting the 'id' parameter as a number with a minimum value. The description adds no additional meaning beyond what the schema provides (e.g., no context about ID sources or uniqueness), so it meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Returns') and resource ('a phrase by its ID'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'get-phrase-by-name' or 'get-all-phrases' beyond the ID parameter, which is a minor gap.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 alternatives like 'get-phrase-by-name' or 'get-all-phrases'. It lacks context about prerequisites (e.g., needing a valid ID) or exclusions, leaving the agent to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get-phrase-by-nameC

Returns a phrase by author name.

ParametersJSON Schema
NameRequiredDescriptionDefault
nameYesAuthor name

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states a read operation ('Returns'), but doesn't disclose error handling, authentication needs, rate limits, or what happens if no phrase matches the author name. More context is needed for a mutation-heavy sibling environment.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded and appropriately sized for a simple retrieval tool, earning its place without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of sibling tools (including mutations like 'create-phrase' and 'delete-phrase'), no annotations, and no output schema, the description is incomplete. It doesn't explain return values, error cases, or how it fits into the broader toolset, leaving gaps for agent understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with the parameter 'name' documented as 'Author name'. The description adds no additional meaning beyond this, such as format examples or constraints. Baseline 3 is appropriate since the schema adequately covers the single parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Returns') and resource ('a phrase'), specifying it's retrieved 'by author name'. It distinguishes from siblings like 'get-phrase-by-id' by indicating the lookup method, but doesn't explicitly contrast with 'get-all-phrases' or other retrieval tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 alternatives like 'get-phrase-by-id' or 'get-all-phrases'. The description implies usage for phrase retrieval by author name, but lacks explicit context, prerequisites, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

update-phraseC

Updates the text of a phrase by its ID.

ParametersJSON Schema
NameRequiredDescriptionDefault
idYesPhrase ID
phraseYesNew phrase text

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states 'Updates the text' implying a mutation, but doesn't disclose permissions required, whether changes are reversible, error handling (e.g., invalid ID), or rate limits. This leaves significant gaps for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded with the core action and resource, making it easy to parse quickly. Every word earns its place without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given this is a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits (e.g., side effects, error responses), usage context, or return values, which are critical for safe and effective tool invocation in a multi-tool environment.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameters 'id' and 'phrase' are fully documented in the schema. The description adds no additional meaning beyond implying 'id' identifies the phrase to update and 'phrase' is the new text, which is already clear from schema descriptions. Baseline 3 is appropriate as the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Updates') and resource ('text of a phrase by its ID'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'create-phrase' or 'delete-phrase', but the specificity of updating by ID provides some implicit distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 alternatives. It doesn't mention prerequisites (e.g., needing an existing phrase ID), exclusions, or comparisons to siblings like 'create-phrase' for new phrases or 'get-phrase-by-id' for retrieval.

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. 1 tool updatev1.0.0
    • Changedget-all-phrases1 field changed
      • removedInput schema / additionalProperties
        Removed value: -false
  2. 6 tool updates
    • First observedcreate-phrase
    • First observeddelete-phrase
    • First observedget-all-phrases
    • First observedget-phrase-by-id
    • First observedget-phrase-by-name
    • First observedupdate-phrase
Deploy Server
Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

A3.5/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a distinct purpose with no overlap: create, delete, get all, get by ID, get by name, and update. The descriptions clearly differentiate between operations on phrases by ID, name, or all phrases, eliminating any ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (e.g., create-phrase, delete-phrase, get-all-phrases). The naming is uniform across all six tools, using hyphens to separate words and clear action verbs.

Tool Count5/5

With 6 tools, this server is well-scoped for managing phrases, covering essential CRUD operations and additional retrieval methods. The count is appropriate, providing comprehensive functionality without being excessive or insufficient.

Completeness5/5

The tool set offers complete CRUD coverage (create, read, update, delete) and includes multiple read options (all, by ID, by name). There are no obvious gaps; agents can perform all expected lifecycle operations for phrase management.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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