mcp-clickup
ClickUp MCP 服务器
用于 ClickUp API 的 MCP 服务器,使 Claude 能够与 ClickUp 工作区进行交互。
工具
clickup_authenticate使用 API 令牌和工作区 ID 通过 ClickUp API 进行身份验证
必需输入:
api_token(字符串):用于身份验证的 ClickUp API 令牌workspace_id(字符串):用于身份验证的 ClickUp 工作区 ID
返回:用户信息和认证状态
clickup_get_task通过任务 ID 从 ClickUp 检索任务
必需输入:
api_token(字符串):用于身份验证的 ClickUp API 令牌task_id(string): 要检索的 ClickUp 任务的 ID
返回:详细的任务信息,包括描述、状态和元数据
clickup_get_task_by_custom_id通过自定义 ID 从 ClickUp 检索任务
必需输入:
api_token(字符串):用于身份验证的 ClickUp API 令牌custom_id(字符串):要检索的 ClickUp 任务的自定义 IDworkspace_id(字符串):API 请求所需的工作区 ID
返回:详细的任务信息,包括描述、状态和元数据
clickup_get_tasks根据 ID 从 ClickUp 中检索多个任务
必需输入:
api_token(字符串):用于身份验证的 ClickUp API 令牌workspace_id(字符串):ClickUp 工作区 IDtask_ids(string[]): 要检索的任务 ID 列表
返回:任务及其完整信息列表
Related MCP server: clickup-custom-mcp
设置
获取您的 ClickUp API 令牌:
登录您的 ClickUp 帐户
前往“设置”→“应用程序”
点击“生成 API 令牌”
复制您的 API 令牌
获取您的工作区 ID:
在浏览器中打开 ClickUp
工作区 ID 位于 URL 中:
https://app.clickup.com/{workspace_id}/homeworkspace_id}/home这是一个以数字开头的数字
与 Claude Desktop 一起使用
将以下内容添加到您的claude_desktop_config.json中:
NPX
{
"mcpServers": {
"clickup": {
"command": "npx",
"args": [
"-y",
"mcp-clickup"
],
"env": {
"CLICKUP_API_TOKEN": "your-api-token",
"CLICKUP_WORKSPACE_ID": "your-workspace-id"
}
}
}
}码头工人
{
"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"
}
}
}
}故障排除
如果遇到错误,请验证:
您的 API 令牌有效且未过期
工作区 ID 正确
您拥有 ClickUp 工作区所需的权限
您尝试访问的任务 ID 存在且您可以访问
建造
Docker 构建:
docker build -t mcp/clickup .执照
此 MCP 服务器采用 MIT 许可证。这意味着您可以自由使用、修改和分发该软件,但须遵守 MIT 许可证的条款和条件。更多详情,请参阅项目仓库中的 LICENSE 文件。
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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