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
Monday.com is a work operating system that enables teams to build workflows for project management, CRM, software development, and more. This connector provides read access to boards, items, users, teams, tags, updates, workspaces, and activity logs via the Monday.com GraphQL API (v2).
CRM
Sales Analytics
Customer Data
Version Information
Package version
0.1.2
Connector version
1.0.0
SDK commit
7bd29cadd2220a5f26191e78acd5832fac497c81
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-monday
2
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>"
)
)3
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
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
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LangChain
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LlamaIndex
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CrewAI
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AutoGen
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OpenAI Agents SDK
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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 MondayApiTokenAuthenticationAuthConfig. In hosted mode, credentials are stored securely in Airbyte Cloud and accessed via Airbyte client credentials.
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. Write support may be added in future versions.
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.
