Installation & Usage
[01]
Install Package
Using uv or pip
BASH
uv pip install airbyte-agent-monday
[02]
Import
Initialize and use
PYTHON
from airbyte_agent_monday import MondayConnector
from airbyte_agent_monday.models import MondayApiTokenAuthenticationAuthConfig
connector = MondayConnector(
auth_config=MondayApiTokenAuthenticationAuthConfig(
api_key="<Your Monday.com personal API token>"
)
)[03]
Tool
Add tools to your agent
python
@agent.tool_plain # assumes you're using Pydantic AI
@MondayConnector.tool_utils
async def monday_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})Supported Entities & Actions
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| Entity | Actions |\n|--------|---------|\n| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get), [Search](./REFERENCE.md#users-search) |\n| Boards | [List](./REFERENCE.md#boards-list), [Get](./REFERENCE.md#boards-get), [Search](./REFERENCE.md#boards-search) |\n| Items | [List](./REFERENCE.md#items-list), [Get](./REFERENCE.md#items-get), [Search](./REFERENCE.md#items-search) |\n| Teams | [List](./REFERENCE.md#teams-list), [Get](./REFERENCE.md#teams-get), [Search](./REFERENCE.md#teams-search) |\n| Tags | [List](./REFERENCE.md#tags-list), [Search](./REFERENCE.md#tags-search) |\n| Updates | [List](./REFERENCE.md#updates-list), [Get](./REFERENCE.md#updates-get), [Search](./REFERENCE.md#updates-search) |\n| Workspaces | [List](./REFERENCE.md#workspaces-list), [Get](./REFERENCE.md#workspaces-get), [Search](./REFERENCE.md#workspaces-search) |\n| Activity Logs | [List](./REFERENCE.md#activity-logs-list), [Search](./REFERENCE.md#activity-logs-search) |
Example Prompts
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List all users in the Monday.com account - Show me all boards - Get the details of board 18395979459 - List all teams - Show me all tags - List recent updates - Which boards were updated in the last week? - Find all items assigned to a specific group - What are the most active boards by update count? - Show me all users who are admins - List items with their column values from a specific board
Why Airbyte for AI Agents?
Built for production AI workloads with enterprise-grade reliability
Secure Authentication
Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.
Agent-Native Design
Heading
Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.
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
CrewAI
LlamaIndex
AutoGen
OpenAI Agents SDK
Claude Agents SDK
Frequently Asked Questions
Didn't find your answer? Please don't hesitate to reach out.
The Monday connector supports API token authentication. In open source mode, you provide your Monday.com personal API token directly via the MondayApiTokenAuthenticationAuthConfig. In hosted mode, credentials are stored securely in Airbyte Cloud using your 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?
Currently, the Monday connector focuses on read operations only. Write operations such as creating boards, deleting items, updating column values, adding users, or creating webhook subscriptions are not supported at this time.
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.
Get started in minutes with our open-source connector.