Trust score
48/100
MarketNow Registry / Developer Tools / Customer-Support-Ticket-Automation-Using-AI-Agents-and-MCP
Customer-Support-Ticket-Automation-Using-AI-Agents-and-MCP
This Project uses large language models to automate customer support. It classifies tickets, analyzes content, generate and send responses automatically to the given customer email address. Built with
Developer Tools
v1.0.0
by ManideepMuddagowni
Install risk
Runs registry code
Source
github
Indexed
2026-09-10
Install
$ pip install Customer-Support-Ticket-Automation-Using-AI-Agents-and-MCPInstalling via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.
How MarketNow scored this
Sentinel Index Heuristics — a security-first estimate from public signals:
- Package age and release activity (stale repositories lose points)
- Verified adoption: registry downloads or GitHub stars, not follower counts
- Typosquat distance against the 150 most-installed MCP packages
- Injection markers scanned in the package description
Heuristic, not a guarantee. For verified agent credentials and revocation, see the MarketNow Trust API.
What is Customer-Support-Ticket-Automation-Using-AI-Agents-and-MCP?
This Project uses large language models to automate customer support. It classifies tickets, analyzes content, generate and send responses automatically to the given customer email address. Built with Indexed by MarketNow with trust 48/100 (Runs registry code).
How do I install it?
Run $ pip install Customer-Support-Ticket-Automation-Using-AI-Agents-and-MCP Installing via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.
What does the trust score mean?
Security-first heuristic over public signals (age, adoption, typosquat distance, injection markers). It is not a popularity ranking and not a guarantee of safety. Customer-Support-Ticket-Automation-Using-AI-Agents-and-MCP scores 48/100.