MCP Ticketing

Unizo's Ticketing MCP Server provides a unified, extensible platform for integrating ticketing capabilities directly into AI agents and LLM clients through the Model Context Protocol (MCP). Designed for developers, this guide covers how to install, configure, and interact with the Unizo Ticketing MCP server, with a focus on available tools and required environment setup.

Overview

The Unizo MCP Server enables seamless integration of ticketing systems with AI agents through a standardized interface that abstracts the complexity of different ticketing platforms.

Key Benefits

• Unified Ticketing Interface: Interact with multiple ticketing tools like Jira, GitHub, ServiceNow, and Trello through a normalized set of MCP tools
• AI Agent Compatibility: Fully compatible with Claude, GPT, and any other LLMs supporting the MCP protocol
• Rich Toolset: Full CRUD support, with intelligent connector detection and organization metadata resolution

Available Tools

Tool Reference

Tool Name	Description	Parameters
list_services	Lists all available ticketing services	Returns: Service names and metadata
list_integrations	Lists all active integrations for a specific service	Required: service name Supported: Jira, GitHub, GitLab, Bitbucket, ServiceNow, Trello
list_organizations	Fetches organizations for a connected integration	Required: integration id/name Returns: Organization metadata and settings
list_collections	Retrieves collections/projects within an organization	Required: integration id/name, organization id/name Returns: Collection names and identifiers
confirm_ticket_creation	Validates and extracts ticket details from user request	Required: user_request Returns: Parsed ticket information
create_ticket	Creates a new support ticket in the connector	Required: integration id/name, organization id/name, collection id/name, ticket name Optional: ticket description, ticket priority (default: High), ticket status (default: OPEN), ticket type (default: Task)
list_tickets	Retrieves all tickets from integrated ticketing connectors	Required: integration id/name Optional: organization id/name, collection id/name, filters, pagination

Installation & Setup

Prerequisites

• Node.js or Python runtime (depending on chosen client SDK)
• MCP-capable agent (e.g., Claude, GPT)
• Unizo API credentials (see environment setup below)

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"
      }
    }
  }
}

tip

MCP Server provides a robust foundation for building enterprise-grade AI automation solutions with built-in security, compliance, and scalability features.

Environment Variables

Variable	Description
API_ACCESS_TOKEN	Your Unizo API key for authenticating API requests

Client Integration Flow

1. Initialize the MCP Server

   • Use your preferred orchestrator (Claude Desktop, GPT MCP Plugin, etc.)
   • Load the MCP JSON config with the Unizo ticketing setup

2. Query Available Tools - Seamless integration across security and DevOps tool stacks

   • Upon server initialization, the tools listed above will be available to the agent

3. Call create_ticket or list_tickets - Designed to handle enterprise-scale AI automation workloads

   • Provide required parameters as per tool schema
   • Server will route and abstract the integration specifics (e.g., GitHub vs Jira)

Observability & Logging

Unizo MCP server logs every tool invocation with correlation IDs and agent attribution.

Early Access Program

The Unizo Source Code MCP Server is currently available through our Early Access Program. All customers can gain priority access to these powerful identity management tools and receive dedicated implementation support.

Get Started Today

Reach out to our team to schedule a personalized demo and discuss integration options for your organization. Connect With Us