# cheq-tickets

> cheq-tickets — galdaich-cheq-cs-tickets-mcp. Use this tool when you need to efficiently search and analyze large datasets of customer support tickets using natural language queries. It solves problems related to ticket management, such as quickly identifying patterns and trends, and retrieving specific tickets based on semantic search criteria. The tool accepts natural language inputs and outputs relevant ticket information, making it ideal for use cases where manual ticket sorting and analysis are time-consuming and labor-intensive.

Canonical page: https://skillsregistry.net/skills/galdaich-cheq-cs-tickets-mcp  
JSON: https://api.skillsregistry.net/v1/skills/galdaich-cheq-cs-tickets-mcp

## Description

Enables semantic search and analysis of customer support tickets. Provides tools to search tickets, analyze the dataset, and retrieve individual tickets using natural language.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ek3mf0bgtp)
- **Repository:** <https://github.com/GalDaich/cheq-cs-tickets-mcp>

## 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": "galdaich-cheq-cs-tickets-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/galdaich-cheq-cs-tickets-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/galdaich-cheq-cs-tickets-mcp/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
