Give agents tools for secure, real-time access to fetch, search, write, and sync across every system, with replication, entity mapping, and auth built-in.
About this Connector
ClickUp is a productivity platform that provides project management, task tracking, docs, goals, and time tracking for teams. This connector provides access to workspaces, spaces, folders, lists, tasks, comments, goals, views, time tracking, members, and docs.
CRM
Sales Analytics
Customer Data
Version Information
Package version
0.1.2
Connector version
0.1.2
SDK commit
44677ecbb4b815bb4fb2a54c6e5339681bcf36a8
Support Open Source
Check us out on Github and join the Airbyte community
Installation & Usage
1
Install Package
Using uv or pip
bash
uv pip install airbyte-agent-clickup-api
2
Import
Initialize and use
python
from airbyte_agent_clickup_api import ClickupApiConnector
from airbyte_agent_clickup_api.models import ClickupApiAuthConfig
connector = ClickupApiConnector(
auth_config=ClickupApiAuthConfig(
api_key="<Your ClickUp personal API token>"
)
)3
Tool
Add tools to your agent
python
@agent.tool_plain # assumes you're using Pydantic AI
@ClickupApiConnector.tool_utils
async def clickup_api_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})Supported Entities & Actions
Lorem ipsum
Lorem ipsum
| Entity | Actions |\n|--------|---------|\n| User | [Get](./REFERENCE.md#user-get) |\n| Teams | [List](./REFERENCE.md#teams-list) |\n| Spaces | [List](./REFERENCE.md#spaces-list), [Get](./REFERENCE.md#spaces-get) |\n| Folders | [List](./REFERENCE.md#folders-list), [Get](./REFERENCE.md#folders-get) |\n| Lists | [List](./REFERENCE.md#lists-list), [Get](./REFERENCE.md#lists-get) |\n| Tasks | [List](./REFERENCE.md#tasks-list), [Get](./REFERENCE.md#tasks-get), [API Search](./REFERENCE.md#tasks-api_search) |\n| Comments | [List](./REFERENCE.md#comments-list), [Create](./REFERENCE.md#comments-create), [Get](./REFERENCE.md#comments-get), [Update](./REFERENCE.md#comments-update) |\n| Goals | [List](./REFERENCE.md#goals-list), [Get](./REFERENCE.md#goals-get) |\n| Views | [List](./REFERENCE.md#views-list), [Get](./REFERENCE.md#views-get) |\n| View Tasks | [List](./REFERENCE.md#view-tasks-list) |\n| Time Tracking | [List](./REFERENCE.md#time-tracking-list), [Get](./REFERENCE.md#time-tracking-get) |\n| Members | [List](./REFERENCE.md#members-list) |\n| Docs | [List](./REFERENCE.md#docs-list), [Get](./REFERENCE.md#docs-get) |
Example Prompts
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List all workspaces I have access to - Show me the spaces in my workspace - List the folders in a space - Show me the lists in a folder - Get the tasks in a list - Get details for a specific task - Search for tasks containing 'bug' across my workspace - Find all urgent priority tasks in my workspace - Show me tasks assigned to a specific user - List comments on a task - Get threaded replies on a comment - Create a comment on a task - Update a comment to mark it resolved - List all goals in my workspace - Get details for a specific goal - Show me all workspace-level views - Get tasks matching a saved view - List time entries for my workspace this week - Get details for a specific time entry - Show me the members assigned to a task - List all docs in my workspace - Get details for a specific doc - What tasks are overdue in my workspace? - Which tasks were updated in the last 24 hours? - Show me all high-priority tasks across all projects - How much time has been tracked this week? - What are the most commented tasks?
Why Airbyte for AI Agents?
Built for production AI workloads with enterprise-grade reliability
Agent-Native Design
Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.
Secure Authentication
Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.
Production Ready
Battle-tested connectors with comprehensive error handling, logging, and retry logic.
Open Source
Fully open source under the MIT license. Contribute, customize, and extend freely.
Works with your favorite frameworks
🦜
LangChain
🦙
LlamaIndex
🤖
CrewAI
⚡
AutoGen
🧠
OpenAI Agents SDK
🔮
Claude Agents SDK
Frequently Asked Questions
Didn't find your answer? Please don't hesitate to reach out.
The clickup-api connector supports API key authentication using your ClickUp personal API token. In open source mode, you provide the token directly via the ClickupApiAuthConfig with an api_key field. In hosted mode, credentials are stored securely in Airbyte Cloud using Airbyte client credentials instead.
Can I use this connector with any AI agent framework?
The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.
Does this connector support write operations?
The clickup-api connector supports limited write operations. It can create comments on tasks and update existing comments (e.g., to mark them resolved). However, destructive write operations such as deleting tasks, comments, or goals are not currently supported.
How is this different from the Airbyte data connector?
Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.
Will there be a platform for agent connectors?
The hosted version with secure credential storage through Airbyte Cloud is already available. See the hosted usage section in the documentation for setup instructions.