
Slack Search MCP Server
An MCP server that enables LLMs to access Slack's search functionality to retrieve users, channels, messages, and thread replies from a Slack workspace.
README
Slack Search MCP Server
A Model Context Protocol (MCP) server that provides tools and resources to access Slack's search functionality. This server allows LLMs to search and retrieve users, channels, messages, and more from a Slack workspace.
Features
Tools
get_users
- Get a list of users in the Slack workspaceget_channels
- Get a list of channels in the Slack workspaceget_channel_messages
- Get messages from a specific channelget_thread_replies
- Get replies in a threadsearch_messages
- Search for messages in Slack
Resources
allusers://
- Get all users in the Slack workspaceallchannels://
- Get all channels in the Slack workspace
Requirements
- Bun runtime
- Slack API token with appropriate permissions
Installation
- Clone the repository
- Install dependencies:
bun install
Usage
-
Set the Slack API token as an environment variable:
export SLACK_TOKEN=xoxb-your-token-here
-
Run the server:
bun run index.ts
Or use the compiled version:
./dist/slack_search_function_mcp
Building
To build the executable:
bun run build
This will create a compiled executable in the dist
directory.
MCP Configuration
To use this server with an MCP-enabled LLM, add it to your MCP configuration:
{
"mcpServers": {
"slack": {
"command": "/path/to/dist/slack_search_function_mcp",
"env": {
"SLACK_TOKEN": "xoxb-your-token-here"
}
}
}
}
Tool Examples
Get Users
{
"name": "get_users",
"arguments": {
"limit": 10
}
}
Get Channels
{
"name": "get_channels",
"arguments": {
"limit": 10,
"exclude_archived": true
}
}
Get Channel Messages
{
"name": "get_channel_messages",
"arguments": {
"channel": "C01234ABCDE",
"limit": 10
}
}
Get Thread Replies
{
"name": "get_thread_replies",
"arguments": {
"channel": "C01234ABCDE",
"thread_ts": "1234567890.123456",
"limit": 10
}
}
Search Messages
{
"name": "search_messages",
"arguments": {
"query": "important announcement",
"sort": "timestamp",
"sort_dir": "desc",
"count": 10
}
}
Resource Examples
Get All Users
allusers://
Get All Channels
allchannels://
Error Handling
The server includes comprehensive error handling for:
- Invalid or missing Slack API token
- API rate limits
- Network errors
- Invalid parameters
- Authentication failures
Security
- The Slack API token is never logged or exposed in responses
- The token is securely passed via environment variables
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.