MCP

Integrate Slack with AI Workflows

Name: Integrate Slack with AI Workflows
Availability: OnlineOnly
Author: Zencoder

Slack MCP Server: Integration for managing channels, messages, threads, reactions, and users. Supports HTTP and stdio.

Connect

Works with slack

Zencoder

Maintainer?

Spark score

out of 100

Updated 4 months ago

Version 1.0.0

Models

claude

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Why it matters

Connect your AI models to Slack workspaces to automate communication and data retrieval. This MCP server enables bots to send messages, manage threads, and access channel history.

Outcomes

What it gets done

Send messages and replies in Slack channels and threads

Retrieve channel lists, history, and user information

Add reactions to Slack messages

Integrate with AI models via MCP for enhanced automation

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-slack | bash

Capabilities

Tools your agent gets

slack_list_channels

Get a list of public or predefined channels in the workspace

slack_post_message

Send a new message to a Slack channel

slack_reply_to_thread

Reply in a specific message thread

slack_add_reaction

Add an emoji reaction to a message

slack_get_channel_history

Get recent messages from a channel

slack_get_thread_replies

Get all replies in a message thread

slack_get_users

Get a list of workspace users with basic profile information

slack_get_user_profile

Get detailed profile information for a specific user

Overview

Slack MCP Server

What it does

Model Context Protocol (MCP) server for interacting with Slack workspaces, providing tools for retrieving channel lists, sending messages, replying in threads, adding reactions, retrieving channel history, and managing users.

To install the server globally:

npm install -g @zencoderai/slack-mcp-server

This allows the server to perform tasks such as listing channels, sending messages, replying to threads, adding reactions, retrieving channel history, and managing users.

Source README

Installation

NPM Global

npm install -g @zencoderai/slack-mcp-server

From Source

npm install
npm run build

Docker

docker build -t slack-mcp-server .
# Or download from Docker Hub
docker pull zencoderai/slack-mcp:latest
# Or download a specific version
docker pull zencoderai/slack-mcp:1.0.0

Available Tools

Tool	Description
`slack_list_channels`	Get a list of public or predefined channels in the workspace
`slack_post_message`	Send a new message to a Slack channel
`slack_reply_to_thread`	Reply in a specific message thread
`slack_add_reaction`	Add an emoji reaction to a message
`slack_get_channel_history`	Get recent messages from a channel
`slack_get_thread_replies`	Get all replies in a message thread
`slack_get_users`	Get a list of workspace users with basic profile information
`slack_get_user_profile`	Get detailed profile information for a specific user

Features

Support for multiple transports (stdio and Streamable HTTP)
Modern MCP SDK (v1.13.2) with contemporary APIs
Comprehensive Slack integration
Bearer token authentication for HTTP transport
Session management for HTTP transport
Support for predefined channels
Pagination support for channels and users

Environment Variables

Required

SLACK_BOT_TOKEN - Bot User OAuth token, which starts with 'xoxb-'
SLACK_TEAM_ID - Your team ID, which starts with 'T'

Optional

SLACK_CHANNEL_IDS - Comma-separated list of predefined channels
AUTH_TOKEN - Bearer token for HTTP authorization (only for Streamable HTTP transport)

Notes

Requires creating a Slack application with specific OAuth scopes: channels:history, channels:read, chat:write, reactions:write, users:read, users.profile:read. Supports both stdio and Streamable HTTP transports. Extended version of the original Anthropic implementation with substantial modifications by For Good AI Inc.

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