# Smart CS

> Use this tool when you need to automate and streamline customer service operations across multiple platforms and programming languages. Smart CS solves problems related to order management, ticketing, and knowledge base search, providing a unified interface for querying and updating customer information. It accepts inputs such as order queries and ticket requests, and outputs standardized responses, making it ideal for enterprises requiring scalable and efficient customer service solutions.

Canonical page: https://skillsregistry.net/skills/bcefghj-smart-cs  
JSON: https://api.skillsregistry.net/v1/skills/bcefghj-smart-cs

## Description

Smart CS is an enterprise multi-agent intelligent customer service system with a hierarchical architecture built on MCP tool protocol. It provides a supervisor orchestration layer, hierarchical memory system, and MCP-based standardized interfaces for order queries, ticket CRUD operations, risk control checks, and knowledge base search across Python, Java, and Go implementations.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bcefghj-smart-cs)
- **Repository:** <https://github.com/bcefghj/smart-cs-multi-agent>

## 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": "bcefghj-smart-cs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bcefghj-smart-cs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bcefghj-smart-cs/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