MCP Communications
Unizo's Communications MCP Server provides a unified, agent-friendly interface for accessing and managing communication platforms including Slack, Microsoft Teams, Discord, and other messaging systems. Built on the Model Context Protocol (MCP), this server enables AI agents and LLM clients to interact with organizational communication structures, channels, and messaging workflows across multiple platforms.
Designed for modern collaboration automation, this guide outlines installation, tool reference, and runtime configuration required to use the Unizo Communications MCP Server.
Overview
The Unizo Communications MCP Server enables seamless integration of communication platforms with AI agents through a standardized interface that abstracts the complexity of different messaging systems.
Key Benefits
- Unified Communication Interface: Standardize interactions across disparate communication platforms like Slack, Microsoft Teams, and Discord through a single API model
- AI Agent Compatibility: Built to integrate seamlessly with Claude, GPT, and other agents that speak the MCP protocol for automated communication workflows
- Cross-Platform Messaging: Send messages, retrieve conversation history, and manage channels consistently regardless of the underlying communication platform
- Organizational Context: Navigate organizational structures and channel hierarchies with consistent tooling across all integrated platforms
Available Tools
Tool Reference
Tool Name | Description | Parameters |
---|---|---|
list_organizations | Retrieves organizations from the connected communication platforms | Required: integration id Optional: pagination (offset, limit), sorting |
list_channels | Lists channels and communication spaces within an organization | Required: integration id, organization id Optional: parent channel id, pagination (offset, limit), sorting |
list_messages | Retrieves messages from a specific channel with pagination support | Required: integration id, organization id, channel id Optional: pagination (offset, limit), sorting |
Installation & Setup
Prerequisites
- Node.js or Python runtime (based on your MCP proxy toolchain)
- MCP-compatible AI agent (e.g., Claude, GPT)
- Communications API credentials (see environment setup below)
- Access to target communication platforms with appropriate permissions
Example MCP Server Setup (JSON)
{
"mcpServers": {
"unizo": {
"command": "mcp-proxy",
"args": ["http://172.184.130.51:8999/mcp"],
"env": {
"API_ACCESS_TOKEN": "your_account_token"
}
}
}
}
Combine this Communications server with your Unizo Ticketing or EDR/XDR servers for complete incident-to-communication automation workflows.
Environment Variables
Variable | Description |
---|---|
API_ACCESS_TOKEN | Your Unizo-issued API key for secure MCP authentication |
Client Integration Flow
-
Initialize MCP Server
- Configure your MCP client (Claude Desktop, GPT plugin, etc.)
- Load the MCP JSON configuration with the unizo-communications target
-
Discover Communication Structure
- Call
list_organizations
to identify available communication workspaces - Use
get_organization
for detailed workspace information - Explore channels with
list_channels
and drill down withget_channel
- Call
-
Interact with Messages
- Retrieve conversation history using
list_messages
- Send messages and attachments via
send_message
- Retrieve conversation history using
The MCP server normalizes differences between communication platforms (Slack, Teams, Discord, etc.), providing agents with a consistent interface and parameter structure regardless of the underlying service.
Observability & Logging
All communication tool invocations are logged by the MCP server with comprehensive context including agent attribution, correlation IDs, message content metadata, and platform-specific tracking.
Early Access Program
The Unizo Communications MCP Server is currently available through our Early Access Program. All customers can gain priority access to these powerful communication management tools and receive dedicated implementation support.
Reach out to our team to schedule a personalized demo and discuss integration options for your organization. Connect With Us