mcp-clickup
ClickUp MCP 서버
ClickUp API를 위한 MCP 서버를 사용하면 Claude가 ClickUp 작업 공간과 상호 작용할 수 있습니다.
도구
clickup_authenticateAPI 토큰과 작업 공간 ID를 사용하여 ClickUp API로 인증합니다.
필수 입력 사항:
api_token(문자열): 인증을 위한 ClickUp API 토큰workspace_id(문자열): 인증을 위한 ClickUp 작업 공간 ID
반환: 사용자 정보 및 인증 상태
clickup_get_taskClickUp에서 작업 ID로 작업 검색
필수 입력 사항:
api_token(문자열): 인증을 위한 ClickUp API 토큰task_id(문자열): 검색할 ClickUp 작업의 ID
반환: 설명, 상태 및 메타데이터를 포함한 자세한 작업 정보
clickup_get_task_by_custom_id사용자 정의 ID로 ClickUp에서 작업 검색
필수 입력 사항:
api_token(문자열): 인증을 위한 ClickUp API 토큰custom_id(문자열): 검색할 ClickUp 작업의 사용자 정의 IDworkspace_id(문자열): API 요청에 필요한 작업 공간 ID
반환: 설명, 상태 및 메타데이터를 포함한 자세한 작업 정보
clickup_get_tasksClickUp에서 ID로 여러 작업을 검색합니다.
필수 입력 사항:
api_token(문자열): 인증을 위한 ClickUp API 토큰workspace_id(문자열): ClickUp 작업 공간 IDtask_ids(string[]): 검색할 작업 ID 목록
반환: 전체 정보가 포함된 작업 목록
Related MCP server: clickup-custom-mcp
설정
ClickUp API 토큰을 받으세요:
ClickUp 계정에 로그인하세요
설정 → 앱으로 이동
"API 토큰 생성"을 클릭하세요
API 토큰을 복사하세요
작업 공간 ID 받기:
브라우저에서 ClickUp을 엽니다.
작업 공간 ID는 URL:
https://app.clickup.com/{workspace_id}/home에 있습니다.숫자로 시작하는 숫자입니다
Claude Desktop과 함께 사용
claude_desktop_config.json 에 다음을 추가하세요.
엔피엑스
지엑스피1
도커
{
"mcpServers": {
"clickup": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"CLICKUP_API_TOKEN",
"-e",
"CLICKUP_WORKSPACE_ID",
"mcp/clickup"
],
"env": {
"CLICKUP_API_TOKEN": "your-api-token",
"CLICKUP_WORKSPACE_ID": "your-workspace-id"
}
}
}
}문제 해결
오류가 발생하면 다음 사항을 확인하세요.
귀하의 API 토큰은 유효하며 만료되지 않았습니다.
작업공간 ID가 정확합니다
ClickUp 작업 공간에 필요한 권한이 있습니다.
액세스하려는 작업 ID가 존재하며 액세스할 수 있습니다.
짓다
Docker 빌드:
docker build -t mcp/clickup .특허
이 MCP 서버는 MIT 라이선스에 따라 라이선스가 부여됩니다. 즉, MIT 라이선스의 조건에 따라 소프트웨어를 자유롭게 사용, 수정 및 배포할 수 있습니다. 자세한 내용은 프로젝트 저장소의 LICENSE 파일을 참조하세요.
Available Tools
4 toolsclickup_authenticateC
Authenticate with ClickUp API using an API token and workspace ID
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist. The description merely states 'Authenticate', implying a mutation (setting credentials), but does not disclose side effects (e.g., session persistence, token storage) or security implications.
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 concise sentence with no extraneous words. However, its brevity sacrifices important details, making the tool less usable.
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 absence of annotations and an output schema, and the critical nature of authentication for subsequent operations, the description fails to provide sufficient context (e.g., how the token is used, success/failure indications, error handling).
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 input schema has one parameter 'type' of type object with no properties and schema coverage 0%. The description mentions 'API token and workspace ID' but does not explain how these map to the parameter, leaving the agent confused about how to provide inputs.
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 ('Authenticate') and the resources ('API token and workspace ID'), differentiating it from sibling tools that are data retrieval. However, it does not clarify the input structure or return value.
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 vs alternatives (e.g., authentication must occur before other calls). The context suggests it is a prerequisite but this is not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
clickup_get_taskC
Get a task by its ID
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description should disclose behavioral traits. It only states the basic function, without mentioning permissions, error handling, or side effects. For a read operation, minimal transparency is given.
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 (5 words), which makes it concise but sacrifices completeness. While it avoids verbosity, it lacks necessary detail.
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 absence of output schema and annotations, and the presence of sibling tools, the description is incomplete. It omits return format, error scenarios, and distinctions from other task retrieval tools.
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 implicitly refers to 'task_id' but does not explain its format or constraints beyond the schema. The description adds negligible meaning.
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 'Get a task by its ID' clearly states the action and resource. However, it does not differentiate from sibling tools like clickup_get_task_by_custom_id or clickup_get_tasks, which also retrieve tasks.
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 on when to use this tool versus alternatives. For instance, there is no mention of prerequisites or context such as requiring the task's standard ID versus custom ID.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
clickup_get_task_by_custom_idC
Get a task by its custom ID
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description does not disclose any behavioral traits such as idempotency, permissions, or side effects. For a read operation, transparency is minimal.
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 concise (one sentence) and front-loaded, but it omits necessary details. It is appropriately short for a simple tool but sacrifices clarity.
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?
Without an output schema or additional context, the description fails to explain what the tool returns (e.g., task details). Combined with sparse parameter info, it is incomplete for effective use.
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 description only mentions 'custom ID' but does not explain that the parameter requires a nested object with a 'custom_id' string. With 0% schema description coverage, this lack of detail is critical 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 the verb 'Get' and resource 'a task by its custom ID'. It is specific enough to differentiate from general 'clickup_get_task' which likely uses a different identifier, but it does not explicitly contrast with siblings.
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 'clickup_get_task' or 'clickup_get_tasks'. The description does not mention scenarios or prerequisites, leaving the AI to infer usage without support.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
clickup_get_tasksC
Get multiple tasks by their IDs
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It only states the function but does not disclose whether it is read-only, any side effects, authentication requirements, rate limits, or return format. This is insufficient for safe invocation.
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, making it concise. However, it is too brief and could include more useful information 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 nested parameter, no output schema, and low schema coverage, the description is incomplete. It does not explain how to structure the request or what to expect in response.
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 description mentions 'by their IDs' but does not explain the nested object structure or that the IDs are passed as an array inside a 'type' object. With 0% schema description coverage, the description should add more context but falls short.
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 (Get) and resource (multiple tasks) and specifies the criterion (by their IDs). However, it does not differentiate from siblings like clickup_get_task (single task) or clickup_get_task_by_custom_id (custom ID), which could cause confusion.
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 alternatives. The description lacks context about prerequisites, filters, or any conditions for invocation.
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.
4 tool updates
v1.0.1- First observed
clickup_authenticate - First observed
clickup_get_task - First observed
clickup_get_task_by_custom_id - First observed
clickup_get_tasks
TDQS
Scored across 4 tools
Tools are mostly distinct: authentication vs. task retrieval. However, clickup_get_task and clickup_get_task_by_custom_id have similar purposes differentiated only by ID type, which could cause minor confusion despite clear descriptions.
All tools follow a consistent snake_case verb_noun pattern (clickup_authenticate, clickup_get_task, etc.) with no deviations, making the naming predictable and clear.
With 4 tools, the server is slightly sparse but appropriate for a focused task retrieval scope. The count is not excessive, but the server could benefit from a few more tools for a broader feature set.
The tool surface is severely incomplete for a task management API. It only provides authentication and read operations for tasks, missing create, update, delete, and other essential endpoints like listing tasks by filter or managing other entities (lists, folders).
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