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
Slack is a business communication platform that offers messaging, file sharing, and integrations with other tools. This connector provides read access to users, channels, channel members, messages, and threads, plus write operations like sending messages, creating channels, managing reactions, and more.
CRM
Sales Analytics
Customer Data
Version Information
Package version
0.1.20
Connector version
0.1.20
SDK commit
unknown
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-sdk
2
Import
Initialize and use
python
from airbyte_agent_sdk.connectors.slack import SlackConnector
from airbyte_agent_sdk.connectors.slack.models import SlackTokenAuthenticationAuthConfig
connector = SlackConnector(
auth_config=SlackTokenAuthenticationAuthConfig(
bot_key="<Your Slack Bot Key (xoxb-) or User Token (xoxp-)>"
)
)3
Tool
Add tools to your agent
python
@agent.tool_plain # assumes you're using Pydantic AI
@SlackConnector.tool_utils
async def slack_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| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get), [Context Store Search](./REFERENCE.md#users-context-store-search) |\n| Channels | [List](./REFERENCE.md#channels-list), [Get](./REFERENCE.md#channels-get), [Create](./REFERENCE.md#channels-create), [Update](./REFERENCE.md#channels-update), [Context Store Search](./REFERENCE.md#channels-context-store-search) |\n| Channel Messages | [List](./REFERENCE.md#channel-messages-list), [Context Store Search](./REFERENCE.md#channel-messages-context-store-search) |\n| Threads | [List](./REFERENCE.md#threads-list), [Context Store Search](./REFERENCE.md#threads-context-store-search) |\n| Messages | [Create](./REFERENCE.md#messages-create), [Update](./REFERENCE.md#messages-update), [Delete](./REFERENCE.md#messages-delete) |\n| Channel Topics | [Create](./REFERENCE.md#channel-topics-create) |\n| Channel Purposes | [Create](./REFERENCE.md#channel-purposes-create) |\n| Channel Invites | [Create](./REFERENCE.md#channel-invites-create) |\n| Reactions | [Create](./REFERENCE.md#reactions-create), [Delete](./REFERENCE.md#reactions-delete) |\n| Ephemeral Messages | [Create](./REFERENCE.md#ephemeral-messages-create) |\n| Scheduled Messages | [Create](./REFERENCE.md#scheduled-messages-create) |\n| Channel Archives | [Create](./REFERENCE.md#channel-archives-create) |\n| Channel Kicks | [Create](./REFERENCE.md#channel-kicks-create) |\n| Pins | [Create](./REFERENCE.md#pins-create) |\n| Bookmarks | [Create](./REFERENCE.md#bookmarks-create) |
Example Prompts
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List all users in my Slack workspace - Show me all public channels - List members of a public channel - Show me recent messages in a public channel - Show me thread replies for a recent message - List all channels I have access to - Show me user details for a workspace member - List channel members for a public channel - Send a message to a channel saying 'Hello team!' - Post a message in the general channel - Update the most recent message in a channel - Create a new public channel called 'project-updates' - Create a private channel named 'team-internal' - Rename a channel to 'new-channel-name' - Set the topic for a channel to 'Daily standup notes' - Update the purpose of a channel - Add a thumbsup reaction to the latest message in a channel - React with :rocket: to the latest message in a channel - Reply to a recent thread with 'Thanks for the update!' - Invite a user to a channel - Add a team member to the #project-updates channel - Send an ephemeral message to a user in a channel - Whisper a private reminder to a user in #general - Schedule a message in a channel for tomorrow at 9am - Send a reminder to a channel at 5pm today - Delete the bot's last message in a channel - Remove the :thumbsup: reaction from a message - Archive the #old-project channel - Remove a user from the #team channel - Pin the latest important message in a channel - Add a bookmark link to a channel - What messages were posted in channel \{channel_id\} last week? - Show me the conversation history for channel \{channel_id\} - Search for messages mentioning \{keyword\} in channel \{channel_id\}
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 Slack connector supports token-based authentication using a Slack Bot Token (xoxb-) or User Token (xoxp-) for open source usage. For hosted mode, it supports Airbyte Cloud credentials (client ID and client secret) with optional organization ID for multi-org setups.
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?
Yes, the Slack connector supports a wide range of write operations including sending, updating, deleting, and scheduling messages; creating and renaming channels; archiving channels; managing reactions; pinning messages; adding bookmarks; inviting and removing users from channels; and setting channel topics and purposes. However, it does not support deleting channels, creating users, updating user profiles, or unarchiving channels.
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.