Enables AI assistants to interact with Slack workspaces, providing tools for reading and sending messages, managing channels, handling user information, uploading and sharing files, searching across workspace content, and adding emoji reactions.
Slack MCP Server
A Model Context Protocol (MCP) server that enables AI assistants to interact with Slack workspaces. This server provides tools for reading messages, posting messages, managing channels, and more through the Slack API.
Features
- Channel Management: List channels, get channel info, create channels
- Message Operations: Send messages, read message history, reply to threads
- User Management: Get user information, list workspace members
- File Operations: Upload files, share files in channels
- Search: Search messages and files across the workspace
- Reactions: Add and remove emoji reactions to messages
Prerequisites
- Python 3.8 or higher
- A Slack workspace with admin permissions
- Slack Bot Token with appropriate scopes
Installation
- Clone this repository:
- Install dependencies:
- Set up your Slack Bot Token (see Configuration section below)
Configuration
Setting up Slack Bot Token
- Go to Slack API and create a new app
- Navigate to "OAuth & Permissions" in the sidebar
- Add the following Bot Token Scopes:
channels:read
- View basic information about public channelschannels:write
- Manage public channelschat:write
- Send messages as the botchat:write.public
- Send messages to channels the bot isn't a member offiles:read
- View files shared in channels and conversationsfiles:write
- Upload, edit, and delete filesgroups:read
- View basic information about private channelsim:read
- View basic information about direct messagesmpim:read
- View basic information about group direct messagesreactions:read
- View emoji reactions and their associated contentreactions:write
- Add and edit emoji reactionssearch:read
- Search messages and filesusers:read
- View people in the workspacechannels:history
- View messages and other content in public channelsgroups:history
- View messages and other content in private channelsim:history
- View messages and other content in direct messagesmpim:history
- View messages and other content in group direct messages
- Install the app to your workspace
- Copy the "Bot User OAuth Token" (starts with
xoxb-
)
Environment Variables
Set your Slack Bot Token as an environment variable:
Or create a .env
file in the project root:
Usage
Running the Server
The server will start and listen for MCP connections via stdio.
Using with Claude Desktop
Add the following configuration to your Claude Desktop config file:
Available Tools
The server provides the following tools:
Channel Operations
list_channels()
- List all channels in the workspaceget_channel_info(channel_id)
- Get detailed information about a channelcreate_channel(name, is_private=False)
- Create a new channel
Message Operations
send_message(channel, text, thread_ts=None)
- Send a message to a channelget_channel_history(channel, limit=10)
- Get recent messages from a channelsearch_messages(query, count=20)
- Search for messages across the workspace
User Operations
get_user_info(user_id)
- Get information about a userlist_users()
- List all users in the workspace
File Operations
upload_file(channels, content, filename, title=None)
- Upload a file to channelssearch_files(query, count=20)
- Search for files in the workspace
Reaction Operations
add_reaction(channel, timestamp, name)
- Add an emoji reaction to a messageremove_reaction(channel, timestamp, name)
- Remove an emoji reaction from a message
Examples
Sending a Message
Getting Channel History
Searching Messages
Creating a Channel
Error Handling
The server includes comprehensive error handling for:
- Invalid Slack tokens
- Rate limiting
- Network connectivity issues
- Invalid channel/user IDs
- Permission errors
Security Considerations
- Store your Slack Bot Token securely and never commit it to version control
- Use environment variables or secure secret management
- Regularly rotate your bot tokens
- Monitor bot activity in your Slack workspace
- Grant only the minimum required permissions
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Support
For issues and questions:
- Check the Slack API documentation
- Review the MCP specification
- Open an issue in this repository
This server cannot be installed
Enables AI assistants to interact with Slack workspaces through the Model Context Protocol, providing tools for reading/sending messages, managing channels, and accessing Slack API functionality.
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