Enable ClickUp integration with AI assistants using MCP Server for seamless task and team management
The ClickUp MCP Server is a specialized implementation of the Model Context Protocol designed to facilitate seamless integration between AI applications such as Claude Desktop, Continue, Cursor, and others with ClickUp workspaces. By leveraging the ClickUp API through a standardized protocol (MCP), these AI applications can perform various tasks, such as creating and updating tasks, managing teams and lists, and handling board operations.
The ClickUp MCP Server offers several key features that significantly enhance the functionality of AI applications when integrated with ClickUp. These include:
In addition to these core features, the server ensures secure authentication through OAuth2, encrypts tokens at rest, and implements rate limiting to prevent abuse. This robust security architecture ensures that sensitive data is protected while maintaining high availability and reliability of services.
The ClickUp MCP Server adheres to the Model Context Protocol (MCP) specifications, ensuring compatibility with various AI applications and integrating seamlessly into their workflows. The server's architecture is modular and extensible, allowing for easy updates and enhancements without disrupting existing operations.
Here’s an overview of the MCP protocol flow:
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
This diagram illustrates the flow of communication between an AI application, the MCP client, the MCP protocol itself, and the ClickUp server. The protocol ensures secure and efficient data exchange, providing a seamless experience for both developers integrating with ClickUp and end-users utilizing these applications.
Installing the ClickUp MCP Server is straightforward and can be accomplished through either manual configuration or automatic deployment via Smithery.
To configure the server directly on Claude Desktop:
{
"mcpServers": {
"clickup": {
"command": "npx",
"args": ["@mcp/clickup-server"],
"env": {
"CLICKUP_CLIENT_ID": "your_client_id",
"CLICKUP_CLIENT_SECRET": "your_client_secret",
"CLICKUP_REDIRECT_URI": "http://localhost:3000/oauth/callback"
}
}
}
}
After configuring, simply restart the application to automatically download and start the server.
For a more automated setup using Smithery:
npx -y @smithery/cli install @Nazruden/clickup-mcp-server --client claude
This command will handle the installation process, ensuring all dependencies are installed and configured correctly.
Imagine a developer who needs to automate task creation and updates within ClickUp. By integrating their AI application with the ClickUp MCP Server using MCP commands like clickup_create_task
and clickup_update_task
, they can dynamically manage tasks based on real-time project data. For example, an automated system could track bug reports from code repositories and update corresponding ClickUp issues.
In a client service scenario, an AI assistant might need to interact with various stakeholders within a ClickUp workspace. Using the clickup_get_teams
command, the AI can fetch team information, ensuring all communication channels are properly aligned. This allows for effective collaboration and ensures that critical updates reach the correct individuals.
The ClickUp MCP Server is compatible with multiple MCP clients, including:
This compatibility matrix provides developers with flexibility in choosing which AI applications to integrate into their workflows.
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
This matrix highlights the current compatibility of different AI applications with the ClickUp MCP Server. Developers can use this information to plan their integration strategies based on these capabilities.
To run the server, you need to set up several environment variables:
{
"mcpServers": {
"clickup": {
"command": "npx",
"args": ["@mcp/clickup-server"],
"env": {
"CLICKUP_CLIENT_ID": "your_client_id",
"CLICKUP_CLIENT_SECRET": "your_client_secret",
"CLICKUP_REDIRECT_URI": "http://localhost:3000/oauth/callback"
}
}
}
}
Key environment variables include:
CLICKUP_CLIENT_ID
, CLICKUP_CLIENT_SECRET
: OAuth credentials for ClickUp integration.PORT
: Server port (default: 3000).LOG_LEVEL
: Logging level (default: info).The server implements several security measures to protect against potential threats:
A1: Common issues include authentication errors. Verify your OAuth credentials are correct, check token expiration, and ensure the redirect URI matches.
A2: Check that all necessary environment variables are set correctly, ensure port 3000 is available, and review Claude for Desktop logs for any potential issues.
A3: Yes, you can customize the server configuration to support other MCP clients. Review the MCP documentation and adjust as needed.
A4: The server is regularly updated to improve performance, add new features, and enhance security. Check for updates via the official repositories or release notes.
A5: Using MCP servers like ClickUp ensures that AI applications can efficiently interact with data sources and tools, providing a standardized interface that simplifies integration and enhances functionality.
Contributions to the ClickUp MCP Server are welcome from both developers and community members. To add or modify features, follow these steps:
Clone the Repository:
git clone https://github.com/Nazruden/clickup-mcp-server.git
Install Dependencies:
npm install
Start in Development Mode:
npm run dev
Build for Production:
npm run build
Run Tests:
npm test
For further information and resources, visit the ClickUp MCP Server GitHub repository:
Explore additional documentation and community support to enhance your understanding of MCP servers and their integration with various AI applications.
By providing this detailed technical documentation, developers can easily integrate the ClickUp MCP Server into their projects, ensuring robust and secure interactions between AI applications and ClickUp workspaces.
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