# AI Customer Support Bot - MCP Server

> Use this tool when you need to automate customer support with AI-driven responses, solving issues such as high support query volumes and long response times. It integrates with Cursor AI and Glama.ai to provide intelligent and personalized support, accepting customer inquiries as input and generating helpful responses as output. Ideal for use in e-commerce, healthcare, and finance industries where timely and effective customer support is crucial.

Canonical page: https://skillsregistry.net/skills/chiragpatankar-ai-customer-support-bot-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/chiragpatankar-ai-customer-support-bot-mcp-server

## Description

A Model Context Protocol (MCP) server that provides AI-powered customer support using Cursor AI and Glama.ai integration.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f49kdjbch7)
- **Repository:** <https://github.com/ChiragPatankar/AI-Customer-Support-Bot--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": "chiragpatankar-ai-customer-support-bot-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chiragpatankar-ai-customer-support-bot-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chiragpatankar-ai-customer-support-bot-mcp-server/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
