# jira-mcp

> jira-mcp — jack-oval-traits-jira-mcp. Use this tool when you need to interact with Jira Cloud issues using natural language, reducing token usage and streamlining workflows. It enables users to manage issues, comments, and transitions through a set of normalized tools, accepting input in natural language and outputting results in a human-readable format. Ideal for automating Jira tasks and improving productivity, this tool is suitable for teams and developers seeking to optimize their Jira Cloud experience.

Canonical page: https://skillsregistry.net/skills/jack-oval-traits-jira-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jack-oval-traits-jira-mcp

## Description

A token-lean MCP server for Jira Cloud that enables natural language interaction with issues, comments, transitions, and more through a set of seven normalized tools, reducing token usage via field allowlists and ADF-to-Markdown conversion.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vfn5u99a6e)
- **Repository:** <https://github.com/jack-oval-traits/jira-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": "jack-oval-traits-jira-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jack-oval-traits-jira-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jack-oval-traits-jira-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