# Jira MCP

> Use this tool when you need to automate and streamline Jira Cloud instance management, solving problems such as manual issue tracking and project updates. It takes inputs like issue details and project settings, and outputs updated Jira instances, created issues, and tracked worklogs. Ideal for use cases where efficient project management and collaboration are crucial, such as in software development and agile teams.

Canonical page: https://skillsregistry.net/skills/icy-r-jira-mcp  
JSON: https://api.skillsregistry.net/v1/skills/icy-r-jira-mcp

## Description

Enables AI assistants to manage Jira Cloud instances, including creating and updating issues, managing sprints and projects, adding comments, tracking worklogs, and searching with presets.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dfd70i1xh3)
- **Repository:** <https://github.com/icy-r/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": "icy-r-jira-mcp"
    }
  }
}
```

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