# Product MCP Server

> Use this tool when you need to manage products efficiently using natural language commands, enabling creation, listing, updating, and deletion of products via a chat interface. It solves problems related to product data management, such as streamlining product catalog updates and reducing manual data entry. The tool accepts natural language inputs and outputs product information, making it ideal for e-commerce, inventory management, and product catalog management use cases.

Canonical page: https://skillsregistry.net/skills/karthikasasanka-product-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/karthikasasanka-product-mcp-server

## Description

Enables natural language product management (CRUD) with multiple classification methods, including LLM-based and fast ML classifiers, for product creation, listing, updating, and deletion via a chat interface.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w19o9hv1a6)
- **Repository:** <https://github.com/karthikasasanka/product-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "karthikasasanka-product-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/karthikasasanka-product-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/karthikasasanka-product-mcp-server/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt