What credentials are required to use MCP Server?
You need a ClickUp API key (from ClickUp Settings) and your Team ID (from your workspace URL). Both are passed as environment variables.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"windalfin_clickup-mcp-server": {
"command": "npx",
"args": [
"-y",
"@taazkareem/clickup-mcp-server@latest",
"\\"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
MCP Server is a Model Context Protocol (MCP) server for integrating ClickUp tasks with AI applications, allowing AI agents to interact with ClickUp tasks, spaces, lists, and folders through a standardized protocol.
Get a ClickUp API key and Team ID from your workspace. For Cursor Composer Agent, add the server via npx with the required environment variables: npx -y @taazkareem/clickup-mcp-server@latest --env CLICKUP_API_KEY=your_api_key_here --env CLICKUP_TEAM_ID=your_team_id_here. The server can also be installed through Smithery.
You need a ClickUp API key (from ClickUp Settings) and your Team ID (from your workspace URL). Both are passed as environment variables.
Run the npx command `npx -y @taazkareem/clickup-mcp-server@latest` with the required env vars, or install via Smithery where preconfigured commands are available.
It offers over 20 tools for task CRUD, bulk operations, moving/duplicating tasks, and managing folders and lists. See the available tools table in the README.
Yes, three prompts are available: `summarize_tasks`, `analyze_priorities`, and `generate_description` for task overview, priority optimization, and description creation.
The server is listed on Smithery, Glama, and Pulse MCP. It uses the `@latest` tag to auto-update when a new version is released.
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
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Open-source MCP to use Blender with any LLM
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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