# Jira MCP Server

> Use this tool when you need to integrate AI workflows with Jira Cloud, enabling tasks such as issue management and team collaboration. It solves problems like automated issue tracking, comment addition, and user search, streamlining project management processes. The tool accepts inputs like board and issue queries, and outputs relevant data, making it ideal for use cases requiring seamless Jira Cloud interaction.

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

## Description

Enables AI agents to interact with Jira Cloud, including listing boards and issues, adding comments, and searching users.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e3zvv4vdms)
- **Repository:** <https://github.com/ahmetbarut/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": "ahmetbarut-jira-mcp"
    }
  }
}
```

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