# MCP Customer Support AI

> MCP Customer Support AI — ashwani-yadav83602-first-customer-mcp-project. Use this tool when you need to automate customer support workflows, such as retrieving customer information and order history, and creating support tickets. It solves problems like lengthy customer support resolution times and high support agent workloads by providing a streamlined interface for AI agents to interact with MCP tools. The tool accepts customer queries as input and outputs support tickets and relevant customer data.

Canonical page: https://skillsregistry.net/skills/ashwani-yadav83602-first-customer-mcp-project  
JSON: https://api.skillsregistry.net/v1/skills/ashwani-yadav83602-first-customer-mcp-project

## Description

Enables an AI to perform customer support workflows by looking up customers, retrieving orders, and creating support tickets through MCP tools.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e2glpuelw5)
- **Repository:** <https://github.com/ashwani-yadav83602/First-Customer-MCP-PROJECT>

## 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": "ashwani-yadav83602-first-customer-mcp-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ashwani-yadav83602-first-customer-mcp-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ashwani-yadav83602-first-customer-mcp-project/pull`

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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