Slack (Official)
Free foreveranthropic · Communication
85k installs
The official Slack MCP server connects your company's Slack workspace directly into any AI agent — Claude, GPT, Gemini, or a custom assistant — through a single hosted MCP endpoint. Instead of building a bespoke Slack integration for every AI tool you adopt, you connect Slack once inside BusinessMCP and expose it alongside your other business systems at /api/mcp using a single Bearer mcph_* key. Agents can then send messages, post updates, search conversation history, and manage channels and workspace settings without needing separate OAuth flows or custom middleware per model provider.
This MCP server is built for teams that want their AI agents to actually act inside Slack, not just read about it. A support agent can search prior threads to resolve a recurring customer issue, an ops agent can post daily standup summaries to the right channel, and a sales agent can DM a rep when a high-value lead hits a CRM webhook. Because BusinessMCP is model-agnostic, the same Slack connection works whether your team is standardized on Claude for internal tooling or GPT for customer-facing automation — you're not locked into one vendor's Slack plugin ecosystem.
What makes this different from a raw Slack API integration is the business-intelligence layer sitting on top. Every message sent, channel created, or search performed through the hosted MCP server is visible in your BusinessMCP dashboard alongside activity from your other connected tools — email, ad platforms, databases, and revenue systems. That means you can see, for example, how often an agent is escalating issues into a specific Slack channel, or correlate Slack activity spikes with campaign launches tracked through your ad or CRM connectors, all in one cookieless, GDPR-friendly view rather than piecing together logs from a dozen disconnected integrations.
Teams typically pair the Slack MCP server with communication and email connectors to build a full notification and workflow layer: Gmail or Google Super for inbox-triggered alerts, Discord or Telegram for community-facing bots, and WhatsApp for customer-side messaging that funnels into internal Slack channels for human review. Because everything routes through the same hosted MCP endpoint, an agent can, in a single reasoning chain, read a customer email, draft a response, and post a summary to Slack — all authenticated with one key, all logged in one dashboard.
Setup is designed for non-engineering teams as much as developers: authenticate your Slack workspace once through BusinessMCP's managed hosting, and the server handles token refresh, rate limits, and channel permission scoping so agents don't need direct workspace admin access. This is the practical shortcut for anyone searching for a Slack MCP server for AI agents, an official Slack integration for Claude or GPT workflows, or a way to manage Slack messaging and channel operations from a hosted MCP without maintaining custom bot infrastructure.
Just say it in a thread
No configs, no docs. Once connected, these are the kinds of messages your agents act on.
"Post a message to a specified slack channel or direct message thread — and give me the highlights."
"Search workspace message history by keyword, user, or channel for me, then post a summary in the thread."
"Retrieve all channels visible to the connected workspace, including archived status and flag anything that needs my approval."
What teams use it for
- AI support agent searches Slack history to resolve a recurring customer question and replies in-thread
- Ops agent posts automated daily standup or incident summaries to the correct Slack channel
- Sales agent DMs a rep in Slack when a high-priority lead is detected in a connected CRM feed
- Cross-tool workflow where an agent reads a customer email and posts a summarized alert to a Slack channel
- Automated workspace housekeeping: creating channels, archiving stale ones, and inviting new team members
Agent-callable tools
send_message
Post a message to a specified Slack channel or direct message thread.
search_messages
Search workspace message history by keyword, user, or channel.
list_channels
Retrieve all channels visible to the connected workspace, including archived status.
create_channel
Create a new public or private Slack channel with an optional topic and initial members.
manage_channel_members
Invite or remove users from a specified Slack channel.
upload_file
Upload a file or document to a Slack channel or thread.
get_user_info
Fetch profile and presence details for a given Slack workspace user.
set_channel_topic
Update the topic or description text for an existing Slack channel.
Your data stays yours
Credentials live in your vault. We route requests — we never store, log, or train on your data.
Works with every AI
Connect once — portable across Claude, GPT, Gemini, and every local agent you run.
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Frequently asked questions
Do I need a separate Slack app for every AI model I use?
No — connect Slack once through BusinessMCP and it's exposed at your single /api/mcp endpoint, so Claude, GPT, and Gemini agents all use the same authenticated connection.
Can this server post to private channels?
Yes, as long as the connected Slack workspace grants the appropriate channel permissions during setup; access is scoped and managed through BusinessMCP rather than given as full admin control.
How does this differ from Slack's own bot API?
It wraps the same Slack capabilities in the MCP standard and adds unified activity visibility in the BusinessMCP BI dashboard alongside your other connected tools, so you're not building or maintaining integration code per model.
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