TMF620 Product Catalog Management
T

TMF620 Product Catalog Management

The TMF620 MCP Server is a middleware that connects AI agents with the remote TMF620 product catalog management API, providing functions for querying and creating catalogs, product offerings, and product specifications.
2.5 points
6.2K

What is the TMF620 MCP Server?

The TMF620 MCP Server is a middleware service that acts as a bridge between AI agents and the standard TMF620 product catalog management API. Through a simple command interface, AI can easily query and manage product catalogs, product offerings, and product specification information without directly dealing with complex API calls.

How to use the TMF620 MCP Server?

The usage process is divided into three simple steps: 1) Install the necessary Python dependencies. 2) Configure the server connection information. 3) Interact with the remote API through the predefined command tools. After the server is started, AI agents can perform various product catalog management operations by sending commands in a specific format.

Applicable scenarios

It is particularly suitable for scenarios that require automated management of telecommunications product catalogs, such as automatic product information updates, batch creation of product offerings, and cross - system product catalog synchronization. It is also suitable for building product catalog query chatbots or automated product configuration tools.

Main features

Catalog management
Provides complete catalog lifecycle management functions, including creating new catalogs, querying the catalog list, and obtaining detailed catalog information.
Product offering management
Supports the creation, query, and filtering of product offerings, and can find specific offerings based on multiple conditions.
Product specification management
Manages product technical specification information, including creating new specifications and querying details of existing specifications.
System health monitoring
Built - in API connection health check tool to ensure service availability.
Advantages
Simplifies the integration process between AI and complex enterprise APIs.
Provides a standardized command interface, reducing the learning curve.
Flexible configuration supports various TMF620 - compatible backend systems.
Lightweight design, easy to deploy and maintain.
Limitations
Currently only supports the core functions defined by the TMF620 standard.
Requires a Python environment to run.
Advanced customization requires certain technical knowledge.

How to use

Install dependencies
Ensure that Python 3.7+ is installed on the system, and then install the required dependency packages.
Configure the connection
Edit the config.py file and set the connection parameters and authentication information of the remote TMF620 server.
Start the server
Run the main program to start the MCP server, which listens on port 7001 by default.
Integrate with AI
Add the MCP server information to the AI agent configuration, as shown in the configuration file of Claude Desktop.

Usage examples

Create a promotion catalog
The marketing team needs to create a new product catalog for the summer promotion event.
Query broadband products
The customer service system needs to query all product offerings related to broadband.
Check the system status
The administrator needs to verify whether the connection to the backend API is normal.

Frequently Asked Questions

How to modify the server listening port?
Which authentication methods are supported?
Can it connect to multiple TMF620 servers simultaneously?
How to add a new API endpoint?

Related resources

TMF620 API standard documentation
Official TMF620 standard specification of the TM Forum.
GitHub repository
Project source code and issue tracking.
Introduction to the MCP protocol
Design concept and usage guide of the Model Context Protocol.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "tmf620": {
      "command": "python",
      "args": ["path/to/mcp_server.py"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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