Slack

The Slack agent connector is a Python package that equips AI agents to interact with Slack through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP.

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, channel messages, and threads for workspace analytics. It also supports write operations including sending and updating messages, creating and renaming channels, setting channel topics and purposes, and adding reactions to messages.

Example questions

The Slack connector is optimized to handle prompts like these.

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!'
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}

Unsupported questions

The Slack connector isn't currently able to handle prompts like these.

Delete a message from channel {channel_id}
Remove a reaction from a message
Archive channel {channel_id}
Invite user {user_id} to channel {channel_id}
Remove user {user_id} from channel {channel_id}
Delete channel {channel_id}
Create a new user in the workspace
Update user profile information

Installation

uv pip install airbyte-agent-slack

Usage

Connectors can run in open source or hosted mode.

Open source

In open source mode, you provide API credentials directly to the connector.

from airbyte_agent_slack import SlackConnector
from airbyte_agent_slack.models import SlackTokenAuthenticationAuthConfig

connector = SlackConnector(
    auth_config=SlackTokenAuthenticationAuthConfig(
        api_token="<Your Slack Bot Token (xoxb-) or User Token (xoxp-)>"
    )
)

@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 {})

Hosted

In hosted mode, API credentials are stored securely in Airbyte Cloud. You provide your Airbyte credentials instead. If your Airbyte client can access multiple organizations, also set organization_id.

This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.

from airbyte_agent_slack import SlackConnector, AirbyteAuthConfig

connector = SlackConnector(
    auth_config=AirbyteAuthConfig(
        customer_name="<your_customer_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

@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 {})

Full documentation

Entities and actions

This connector supports the following entities and actions. For more details, see this connector's full reference documentation.

Entity	Actions
Users	List, Get, Context Store Search
Channels	List, Get, Create, Update, Context Store Search
Channel Messages	List, Context Store Search
Threads	List, Context Store Search
Messages	Create, Update
Channel Topics	Create
Channel Purposes	Create
Reactions	Create

Authentication

For all authentication options, see the connector's authentication documentation.

Slack API docs

See the official Slack API reference.

Version information

Package version: 0.1.96
Connector version: 0.1.19
Generated with Connector SDK commit SHA: c5258debd165ab701252c1436d4acfb475bf92b9
Changelog: View changelog

Release files for airbyte-agent-slack 0.1.96

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for airbyte-agent-slack 0.1.96
File	Size	Uploaded
airbyte_agent_slack-0.1.96.tar.gz	176.4 kB	Apr 9, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for airbyte-agent-slack 0.1.96
File	Interpreter	ABI	Platform	Reset
airbyte_agent_slack-0.1.96-py3-none-any.whl 200.0 kB Apr 9, 2026	Python 3	none	any	Details

Total release size: 376.4 kB

Release files / airbyte_agent_slack-0.1.96.tar.gz

Download URL	airbyte_agent_slack-0.1.96.tar.gz
Size	176.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`78f8019a15a243ba5bb36f040115b7bcfbe7fc37b89535c9b40e1ef2a64536da`
BLAKE2b-256 checksum How to use checksums	`d3081eb50ae2e10c01008ed15b94000aed303f1185a436ab09e8d6650036e704`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`

Release files / airbyte_agent_slack-0.1.96-py3-none-any.whl

Download URL	airbyte_agent_slack-0.1.96-py3-none-any.whl
Size	200.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`ee4259879c815e99b84105162bf6b08d269837530d1549bf3b7e3cd6f8fa0f83`
BLAKE2b-256 checksum How to use checksums	`d2d95b441b11e50b938c4d3f9bdda5cf5d024847530e25b27a1fa442f4b8111c`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`