ClickUp MCP Server
Enables AI applications to interact with ClickUp's project management API through the MCP protocol, supporting resources like Teams, Spaces, Goals, and Key Results.
README
<h1 align="center"> ClickUp MCP Server </h1>
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<p align="center"> <em>clickup-mcp-server</em> is a Python tool to set up MCP server easily and humanly. </p>
Overview
🦾 A strong Model, Capability, Protocol (MCP) server for ClickUp API integration. This server provides a standardized interface for interacting with ClickUp's API through the MCP protocol, making it easier to build AI-enabled applications that leverage ClickUp's project management capabilities.
Features
- Multiple transport protocols (HTTP streaming and SSE)
- Environment variable configuration via
.envfiles - Consolidated data models for seamless API interaction
Python versions support
Requires Python 3.13 or higher.
Quick Start
Installation
pip install clickup-mcp-server
Running the server
The simplest way to start the server:
clickup-mcp-server --token YOUR_CLICKUP_API_TOKEN
Using environment files
You can store your API token in a .env file:
# .env file
CLICKUP_API_TOKEN=your_api_token_here
And start the server with:
clickup-mcp-server --env /path/to/.env
Client connection
Connect to the server using any MCP client implementation. Example:
- Using SSE transport
import asyncio
from mcp import ClientSession
from mcp.client.sse import sse_client
async def get_authorized_teams():
url = "http://localhost:3005/sse"
async with sse_client(url) as (read_stream, write_stream):
async with ClientSession(read_stream, write_stream) as session:
await session.initialize()
tools = await session.list_tools()
print("Available tools:", [tools])
res = await session.call_tool(
name="get_authorized_teams",
)
print("get_authorized_teams →", res.model_dump())
if __name__ == "__main__":
asyncio.run(get_authorized_teams())
- Using streaming HTTP transport
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async def get_authorized_teams():
url = "http://localhost:3005/mcp/mcp"
async with streamablehttp_client(url) as (
read_stream,
write_stream,
_close_fn,
):
async with ClientSession(read_stream, write_stream) as session:
await session.initialize()
tools_resp = await session.list_tools()
print("Available tools:", [t.name for t in tools_resp.tools])
res = await session.call_tool(
name="get_authorized_teams",
)
print("get_authorized_teams →", res.model_dump())
if __name__ == "__main__":
asyncio.run(get_authorized_teams())
API Resources
The server provides access to the following ClickUp resources:
- Teams
- Spaces
- Goals
- Key Results
Configuration Options
The server supports various configuration options:
| Option | Environment Variable | Description |
|---|---|---|
--token |
CLICKUP_API_TOKEN |
Your ClickUp API token |
--env |
- | Path to .env file containing configuration |
--port |
- | Port to run the server on (default: 8000) |
--host |
- | Host to bind the server to (default: 127.0.0.1) |
Documentation
The documentation contains more details, demonstrations and anything you need about clickup-mcp-server.
- Getting start helps you start to prepare the
environment, install dependencies and configure the detail settings with explanation in detail.
- What requirement I need to prepare?
- How can I install it?
- How to configure the details for this MCP server?
- I have a configuration right now. How can I run this MCP server?
- Want to learn more how to use it?
- What exact features or APIs it has?
- Want to contribute to this project?
- I face something issue it cannot work finely!
- I want to wish a feature or something change.
- If you're interested in clickup-mcp-server and have any ideas want to design it, even implement it, it's very welcome to contribute clickup-mcp-server!
- About the release notes.
Coding style and following rules
<your lib name> follows coding styles black and PyLint to control code quality.
Downloading state
clickup-mcp-server still a young open source which keeps growing. Here's its download state:
License
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