Slackcli
A Slack command-line tool and MCP server designed for AI agents, providing features such as JSON-first output, automatic pagination, and read-only mode, and supporting programmatic access to the Slack platform.
2 points
0

What is SlackCLI MCP Server?

SlackCLI is a Slack integration tool specifically designed for AI agents (such as Claude, ChatGPT, etc.). Through the Model Context Protocol (MCP), it allows AI assistants to directly interact with your Slack workspace, performing operations such as viewing channels, searching for messages, and managing files. Different from traditional Slack tools, SlackCLI was designed from the start with AI usage scenarios in mind, offering features such as JSON-first output, an automatic retry mechanism, and read-only mode.

How to use SlackCLI MCP Server?

Using SlackCLI is very simple: First, create a Slack app and obtain an API token. Then, install SlackCLI via the command line. Finally, configure the MCP server in your AI assistant (such as Claude Desktop). After configuration, your AI assistant will gain Slack-related superpowers, such as helping you view workspace information and search for historical messages.

Use Cases

SlackCLI is particularly suitable for the following scenarios: 1. Let AI assistants help you quickly find historical conversations and files in Slack. 2. When you're busy at work, let AI assistants summarize the discussion content in channels. 3. Require AI assistants to provide suggestions or decision support based on team communication records. 4. Automatically monitor the discussion trends in specific channels. 5. Securely allow AI to access workspace information without worrying about accidental operations.

Main Features

MCP Server Integration
Seamlessly integrates with AI assistants through the standard MCP protocol, supporting multiple AI clients such as Claude Desktop
Read-Only Mode Protection
The read-only mode can be enabled to prevent AI assistants from accidentally sending messages or modifying data, ensuring workspace security
AI-Optimized Design
Features such as JSON-first output, structured error codes, and automatic pagination are specifically designed for AI agents
Comprehensive Slack Toolset
Supports complete Slack functions such as channel management, message operations, user queries, file management, and emoji reactions
Intelligent Rate Limit Handling
Automatically handles Slack API rate limits and has a built-in retry mechanism to ensure operation reliability
Dual Usage Interface
Can be used as an MCP server for AI and as a command-line tool for developers
Advantages
Designed for AI: All features are optimized for the usage scenarios of AI agents
Security Assurance: The read-only mode can prevent AI from making accidental operations and protect workspace data
Easy to Integrate: The standard MCP protocol has good compatibility with mainstream AI assistants
Stable and Reliable: Automatically handles API limits and network issues, reducing the failure rate
Comprehensive Functions: Covers most common Slack functions to meet diverse needs
Limitations
Requires Technical Configuration: Creating a Slack app and obtaining an API token has a certain threshold for non-technical users
Depends on Slack Permissions: The functions are limited by the authorization scope of the Slack app
Requires AI Client Support: An AI assistant that supports the MCP protocol must be used
Advanced Features Require a Paid Slack Plan: Some API functions require a paid Slack subscription

How to Use

Create a Slack App
Visit the Slack API website to create a new app, add necessary permissions (such as channels:read, chat:write, etc.) to the app, and then install the app to your workspace
Get an API Token
On the OAuth & Permissions page of the Slack app, copy the Bot User OAuth Token (starting with xoxb-)
Install SlackCLI
Install the SlackCLI tool using Homebrew or Go
Configure the AI Assistant
Add the SlackCLI MCP server to the configuration file of your AI assistant (such as Claude Desktop)
Start Using
Restart the AI assistant. Now you can ask the AI assistant to help you manage your Slack workspace

Usage Examples

Quickly Find Historical Discussions
When you need to find past discussions about a project, you can ask the AI assistant to search for relevant messages
Channel Content Summary
On a busy workday, let the AI assistant help you summarize the discussion content in important channels
Team Member Search
When you need to contact an expert in a certain field, let the AI assistant help you find relevant team members
Secure Information Query
In read-only mode, let interns or new members use the AI to query information without worrying about accidental operations

Frequently Asked Questions

Is SlackCLI secure? Will it allow the AI to accidentally send messages or delete data?
Do I need to pay to use SlackCLI?
Which AI assistants are supported?
What should I do if the AI assistant returns an error message?
Can I connect to multiple Slack workspaces at the same time?
Will SlackCLI store my chat data?

Related Resources

GitHub Project Homepage
Source code, issue tracking, and the latest version of SlackCLI
Slack API Documentation
Official Slack API documentation to understand available functions and permissions
Model Context Protocol Official Website
Official documentation and specifications of the MCP protocol
Installation and Configuration Video Tutorial
Quick start guide and installation instructions
Problem Feedback and Community Discussion
Submit issues, feature requests, or participate in discussions

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "slack": {
      "command": "slackcli",
      "args": ["mcp", "serve"],
      "env": {
        "SLACK_TOKEN": "xoxb-your-token"
      }
    }
  }
}

{
  "mcpServers": {
    "slack-readonly": {
      "command": "slackcli",
      "args": ["--read-only", "mcp", "serve"],
      "env": {
        "SLACK_TOKEN": "xoxb-your-token"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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