# ticksy-mcp

> Use this tool when you need to integrate with the Ticksy support ticket API, enabling AI agents to manage support tickets. It solves problems related to automated ticket management, such as reading and responding to customer inquiries. The tool accepts API inputs and outputs support ticket data, making it ideal for use cases involving customer support automation.

Canonical page: https://skillsregistry.net/skills/artkrsk-ticksy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/artkrsk-ticksy-mcp

## Description

MCP server for the Ticksy support ticket API, enabling AI agents to read and write support tickets.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/eu3mmhn4j3)
- **Repository:** <https://github.com/artkrsk/ticksy-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": "artkrsk-ticksy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/artkrsk-ticksy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/artkrsk-ticksy-mcp/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