# Ticket MCP Server

> Use this tool when you need to manage a structured ticketing system, automate task management, and enforce data consistency within a local repository. It solves problems related to task organization, collaboration, and data validation, providing a reliable interface for claiming tasks, logging work, and validating metadata. The tool accepts markdown files as input and outputs validated ticket data, making it ideal for use cases requiring strict data schemas and version control.

Canonical page: https://skillsregistry.net/skills/recursivesquircle-ticket-mcp  
JSON: https://api.skillsregistry.net/v1/skills/recursivesquircle-ticket-mcp

## Description

Enables AI agents to manage a file-backed ticketing system directly within a local repository using a structured state machine and directory hierarchy. It enforces strict markdown schemas and provides specialized tools for claiming tasks, appending work logs, and validating ticket metadata.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ngon99ypw3)
- **Repository:** <https://github.com/recursivesquircle/ticket-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": "recursivesquircle-ticket-mcp"
    }
  }
}
```

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