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Airbyte Slack Connector for AI platforms

Project description

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, Search
Channels List, Get, Create, Update, Search
Channel Messages List
Threads List
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: 0.1.77
  • Connector version: 0.1.15
  • Generated with Connector SDK commit SHA: 9808f8a1ffe01ef505588251deb2fe305b0760e5
  • Changelog: View changelog

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