File: //opt/PraisonAI/docs/mcp/slack.mdx
---
title: "Slack MCP Integration"
sidebarTitle: "Slack"
description: "Guide for integrating Slack messaging capabilities with PraisonAI agents using MCP"
icon: "slack"
---
## Add Slack Tool to AI Agent
```mermaid
flowchart LR
In[Query] --> Agent[AI Agent]
Agent --> Tool[Slack MCP]
Tool --> Agent
Agent --> Out[Answer]
style In fill:#8B0000,color:#fff
style Agent fill:#2E8B57,color:#fff
style Tool fill:#4A154B,color:#fff
style Out fill:#8B0000,color:#fff
```
## Quick Start
<Steps>
<Step title="Install Dependencies">
Make sure you have Node.js installed, as the MCP server requires it:
```bash
pip install praisonaiagents mcp
```
</Step>
<Step title="Set API Keys">
Set your Slack credentials as environment variables in your terminal:
```bash
export SLACK_BOT_TOKEN=your_slack_bot_token_here
export SLACK_TEAM_ID=your_slack_team_id_here
export OPENAI_API_KEY=your_openai_api_key_here
```
</Step>
<Step title="Create a file">
Create a new file `slack_agent.py` with the following code:
```python
from praisonaiagents import Agent, MCP
import os
# Get Slack credentials from environment
slack_token = os.getenv("SLACK_BOT_TOKEN")
slack_team_id = os.getenv("SLACK_TEAM_ID")
# Use a single string command with Slack configuration
slack_agent = Agent(
instructions="""You are a helpful assistant that can interact with Slack.
Use the available tools when relevant to manage Slack communications.""",
llm="gpt-4o-mini",
tools=MCP("npx -y @modelcontextprotocol/server-slack",
env={
"SLACK_BOT_TOKEN": slack_token,
"SLACK_TEAM_ID": slack_team_id
})
)
slack_agent.start("Send a message to the general channel")
```
</Step>
<Step title="Run the Agent">
Execute your script:
```bash
python slack_agent.py
```
</Step>
</Steps>
<Note>
**Requirements**
- Python 3.10 or higher
- Node.js installed on your system
- Slack Bot Token and Team ID
- OpenAI API key (for the agent's LLM)
</Note>