mcp-clickup is an MCP Server designed for the ClickUp API, enabling integration with ClickUp workspaces. It allows users to authenticate and interact with tasks in their ClickUp environment by providing tools such as retrieving tasks by ID, custom ID, or multiple task IDs.
mcp-clickup simplifies interaction with ClickUp's API by offering pre-built tools for authentication and task management. It can be used within applications like Claude Desktop to streamline workflows involving ClickUp tasks and data retrieval.
The main contributors to mcp-clickup are @mikah13 (Mike Hoang) and @calclavia (Henry Mao). They have developed and maintained this tool to help users integrate ClickUp functionality into their projects.
mcp-clickup is hosted publicly on GitHub under the repository mikah13/mcp-clickup. You can access its source code, documentation, and releases from there.
The latest release of mcp-clickup, version v1.0.4, was published on February 18, 2025.
To set up mcp-clickup, first obtain your ClickUp API token from Settings → Apps in your ClickUp account. Then, get your Workspace ID from the URL when accessing ClickUp. Add these credentials to your `claude_desktop_config.json` file or Docker configuration as shown in the documentation.
Yes, you can run mcp-clickup using Docker. Build the image with `docker build -t mcp/clickup .`, then configure it in your application settings by specifying the required environment variables (`CLICKUP_API_TOKEN` and `CLICKUP_WORKSPACE_ID`).
If you face issues, ensure that your API token is valid, the workspace ID is correct, you have sufficient permissions in ClickUp, and the tasks you're trying to access exist and are accessible to you.
Yes, mcp-clickup is open-source and licensed under the MIT License. This allows users to freely use, modify, and distribute the software according to the terms outlined in the LICENSE file.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
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