# ultra-jira-mcp

> Use this tool when you need to integrate AI models with Jira Cloud, providing full API access for seamless interaction and automation. It solves problems related to data synchronization, workflow automation, and enhanced collaboration between AI systems and Jira Cloud. The ultra-jira-mcp tool accepts API requests as input and returns relevant Jira Cloud data as output, ideal for use cases involving AI-driven project management and development workflows.

Canonical page: https://skillsregistry.net/skills/scottlepp-ultra-jira-mcp  
JSON: https://api.skillsregistry.net/v1/skills/scottlepp-ultra-jira-mcp

## Description

MCP server for Jira Cloud - Full API access for AI models

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** productivity
- **Updated:** 2026-05-13

## Source

- **Source listing:** [GitHub](https://github.com/scottlepp/ultra-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": "scottlepp-ultra-jira-mcp"
    }
  }
}
```

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