
Slack Mcp Server
io.github.stevenvoPublished by GitHub account stevenvov0.1.0Updated Oct 24, 2026
Read Slack conversations, threads, user info, and search messages from your MCP client.
Overview
A local MCP server that lets an assistant read Slack channels, threads, user profiles and search results from your workspace.
- What you can do
- Read recent channel messages with time-window and limit filters, and read full threads including replies and reactions. List the channels you belong to, including public, private, DMs and group DMs, and get channel metadata such as topic, purpose and member count. Look up user profiles with name, email, title, status and timezone. Search conversations where you are mentioned or involved. Generate permanent permalinks to specific messages.
- When to use it
- Useful when you want an assistant to catch up on project channels, follow a discussion thread, find a past decision by search, or pull context about people and channels without leaving the chat client. It is read-only, so it suits research and summarization rather than posting or managing Slack.
- Requirements
- Runs locally as a Python package (Python 3.10 or higher) via pip or uvx. Needs a Slack app with the listed OAuth scopes and either a user token (SLACK_USER_TOKEN) or bot token (SLACK_BOT_TOKEN), plus SLACK_WORKSPACE_URL for generating message links. Bot tokens require inviting the bot to each channel. Network access to the Slack API is required.
Installation
In SourceWeft
- Open Slack Mcp Server in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
Slack MCP Server
[PyPI] [Python Version] [License: MIT]
A Model Context Protocol (MCP) server that provides programmatic access to Slack conversations, threads, and workspace information. Designed for AI assistants like Claude to interact with your Slack workspace through a standardized interface.
What is MCP?
The Model Context Protocol is an open standard that enables AI assistants to securely access external data sources and tools. This server implements MCP to give Claude direct access to your Slack workspace.
Features
📨 Message Operations
- Read Channel Messages: Fetch recent messages from any channel with flexible time-based filtering
- Read Thread Messages: Access complete conversation threads including all replies
- Get Message Permalinks: Generate permanent, shareable links to specific messages
🔍 Discovery & Search
- List Your Channels: Enumerate all channels you're a member of (public, private, DMs, group DMs)
- Search Conversations: Find messages where you're mentioned or involved using Slack's search
📊 Metadata & Context
- Get Channel Info: View channel details, topics, purposes, member counts, and settings
- Get User Info: Look up user profiles, emails, titles, timezones, and status information
Quick Start
Option 1: Install from PyPI (Recommended)
The easiest way to use this MCP server is to install it directly from PyPI:
Option 2: Install from Source
After installation, you'll need to set up authentication (see below).
Authentication
Option 1: User Token (Recommended)
A User Token uses your personal Slack permissions and can access all channels you're a member of.
- Go to https://api.slack.com/apps
- Create a new app (or use existing)
- Navigate to "OAuth & Permissions"
- Add the following User Token Scopes:
channels:history- View messages in public channelschannels:read- View basic channel infogroups:history- View messages in private channelsgroups:read- View basic private channel infoim:history- View messages in direct messagesim:read- View basic DM infompim:history- View messages in group DMsmpim:read- View basic group DM infousers:read- View user informationsearch:read- Search messages
- Install the app to your workspace
- Copy the "User OAuth Token" (starts with
xoxp-)
Option 2: Bot Token
A Bot Token is more limited but easier to set up for team-wide access.
- Follow steps 1-2 above
- Add Bot Token Scopes instead (same list but in bot section)
- Install the app
- Copy the "Bot User OAuth Token" (starts with
xoxb-) - Invite the bot to channels you want to read:
/invite @YourBotName
Configure Environment
Create a .env file:
Edit .env and add your token:
Configuration for Claude Code
Add this server to Claude Code by editing your ~/.claude.json file:
Using PyPI Package (Recommended)
Using Local Installation
If you installed from source:
Using Bot Token
If you prefer to use a bot token instead of a user token:
Note: Remember to invite your bot to channels: /invite @YourBotName
Verify Installation
Restart Claude Code and verify the server is running:
You should see slack in the list of active MCP servers.
Available Tools
This server provides 7 MCP tools for interacting with Slack:
📬 read_channel_messages
Retrieve recent messages from any Slack channel with flexible time filtering.
Parameters:
Natural Language Examples:
- "Show me messages from the #general channel in the last 24 hours"
- "Read the last 48 hours of messages from channel C1234567890"
- "Get the most recent 50 messages from C070PDRHQS1"
Returns: Formatted messages with timestamps, user mentions, thread indicators, reactions, and permalinks.
💬 read_thread_messages
Read all messages in a conversation thread, including the parent message and all replies.
Parameters:
Natural Language Examples:
- "Read the full thread with timestamp 1699564800.123456 in channel C1234567890"
- "Show me all replies to message ts 1699564800.123456"
Returns: Complete thread with parent message and all replies, formatted with timestamps and reactions.
📋 get_channel_info
Get detailed metadata about a Slack channel.
Parameters:
Natural Language Examples:
- "Get info about channel C1234567890"
- "Show me details for the #engineering channel"
Returns: Channel name, ID, creation date, member count, privacy status, topic, and purpose.
👤 get_user_info
Look up detailed profile information for any Slack user.
Parameters:
Natural Language Examples:
- "Get info about user U1234567"
- "Show me details for @john.doe"
Returns: User's real name, display name, email, title, status, timezone, and admin/bot flags.
📑 list_my_channels
List all channels you're a member of, with support for different channel types.
Parameters:
Supported Types:
public_channel- Public channelsprivate_channel- Private channelsmpim- Group direct messagesim- Direct messages
Natural Language Examples:
- "List all my channels"
- "Show me all private channels I'm in"
- "List all my DMs"
Returns: Channel names, IDs, member counts, and privacy indicators.
🔍 search_my_conversations
Search for messages across all conversations where you're mentioned or involved.
Parameters:
Natural Language Examples:
- "Search my conversations for 'deployment'"
- "Find messages mentioning 'bug fix' in the last week"
- "Search for messages about 'Q4 planning'"
Returns: Matching messages with channel names, user info, timestamps, and permalinks.
🔗 get_message_permalink
Generate a permanent, shareable link to a specific Slack message.
Parameters:
Natural Language Examples:
- "Get permalink for message 1699564800.123456 in channel C1234567890"
- "Generate a link to this message"
Returns: Permanent URL that works even if the workspace's URL changes.
Usage Examples
Once configured in Claude Code, you can interact with your Slack workspace using natural language. Here are some example queries:
Reading Messages
Following Threads
Discovery & Search
Getting Context
Practical Workflows
Catch up on a project:
Find that important decision:
Get onboarding context:
Finding Channel IDs
Method 1: From Slack URL
When you're in a channel, the URL looks like:
The part after /archives/ is the channel ID: C1234567890
Method 2: Using the MCP Server
Ask Claude:
Method 3: Right-click in Slack
- Right-click on the channel name
- Click "Copy link"
- Extract the channel ID from the URL
Requirements
- Python: 3.10 or higher
- Slack Workspace: Admin access to create and configure a Slack app
- Claude Code: Latest version with MCP support
- Operating System: macOS, Linux, or Windows with WSL
Troubleshooting
"Missing required scopes" Error
Your Slack app needs the proper OAuth scopes configured.
Solution:
- Go to https://api.slack.com/apps and select your app
- Navigate to "OAuth & Permissions"
- Ensure you've added all required scopes listed in the Authentication section
- Reinstall the app to your workspace
- Copy the new token
"Channel not found" Error
For Bot Tokens:
For User Tokens:
- Verify you're a member of the channel
- Check the channel ID is correct (see "Finding Channel IDs" section)
"Not authenticated" Error
Check your configuration:
Common issues:
- Token has expired or been revoked
- Extra spaces or newlines in the token string
- Wrong token type (user vs bot)
- Token not properly quoted in JSON
MCP Server Not Running
Verify server is loaded:
Check logs for errors:
Common solutions:
- Restart Claude Code completely
- Check
~/.claude.jsonsyntax is valid JSON - Verify Python version:
python --version(must be 3.10+) - Test the server manually:
python server.py(if installed from source)
SSL Certificate Errors
If you're behind a corporate proxy (like Zscaler):
Rate Limiting
Slack API has rate limits. If you hit them:
- Reduce the
limitparameter inread_channel_messages - Increase
lookback_hoursto fetch fewer messages - Wait a few minutes before retrying
Rate limit indicators:
Solution: The server will automatically handle rate limits, but you may need to wait.
Security & Privacy
Token Security
- Never commit tokens to version control - The
.envfile is gitignored by default - Revoke compromised tokens immediately at https://api.slack.com/apps
- Use environment variables in production, never hardcode tokens
- Rotate tokens periodically as part of security best practices
Data Access
User Tokens:
- Have access to everything you can see in Slack
- Use your personal permissions
- See all channels you're a member of
- More convenient for personal use
Bot Tokens:
- Limited to channels where the bot is invited
- Separate from personal identity
- Better for team/shared setups
- More granular control
Corporate Environments
If you're using this in a corporate environment:
- Check with your IT/Security team before creating Slack apps
- Be aware of data retention and compliance policies
- Consider using bot tokens for audit trails
- SSL certificate configuration may be required (see Troubleshooting)
Limitations
- Read-only: This server only reads data, it cannot post messages or modify content
- Rate limits: Subject to Slack's API rate limits (Tier 3: ~50 requests per minute)
- Token scope: Can only access channels/conversations the token has permission to see
- Message history: Limited to Slack workspace's message retention policy
Contributing
Contributions are welcome! Here's how you can help:
Reporting Issues
Found a bug or have a feature request?
- Check existing issues at https://github.com/stevenvo/slack-mcp-server/issues
- Create a new issue with:
- Clear description of the problem/feature
- Steps to reproduce (for bugs)
- Expected vs actual behavior
- Your environment (Python version, OS, Claude Code version)
Pull Requests
- Fork the repository
- Create a feature branch:
git checkout -b feature/amazing-feature - Make your changes
- Test thoroughly
- Commit with clear messages:
git commit -m "Add amazing feature" - Push to your fork:
git push origin feature/amazing-feature - Open a Pull Request
Development Setup
Changelog
v0.1.0 (2025-01-06)
- Initial release
- 7 core tools for reading Slack conversations
- Support for user and bot tokens
- Published to PyPI and MCP registry
- Comprehensive documentation
Roadmap
Potential future enhancements:
- Support for Slack Enterprise Grid
- Message filtering by user or reactions
- Export conversations to different formats
- Support for Slack Connect channels
- Caching to reduce API calls
- Webhook support for real-time updates
Suggestions welcome in GitHub Issues!
Related Projects
- Model Context Protocol - The MCP specification
- MCP Registry - Browse more MCP servers
- Slack SDK for Python - The underlying library
- Claude Code - AI assistant with MCP support
Support
- Documentation: You're reading it!
- Issues: https://github.com/stevenvo/slack-mcp-server/issues
- Discussions: https://github.com/stevenvo/slack-mcp-server/discussions
- Slack API Docs: https://api.slack.com/docs
License
MIT License - see LICENSE file for details.
Copyright (c) 2025 Steven Vo
Made with ❤️ for the MCP community
If you find this useful, please ⭐ star the repository on GitHub!
Source: README.md at commit f11488b
Tools
0Version history
1- v0.1.0LatestSep 16, 2026
Score
50% of the applicable checks met
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- Auth declared10 pts
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- Tools listed15 pts
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