# jira-mcp

> Use this tool when you need to fetch Jira issue data via the Jira API, solving problems of data integration and issue tracking. It provides an interface for inputting API requests and outputs relevant issue data, streamlining project management workflows. Ideal for use cases requiring automated Jira data retrieval and analysis.

Canonical page: https://skillsregistry.net/skills/trongtai1801-jira-mcp  
JSON: https://api.skillsregistry.net/v1/skills/trongtai1801-jira-mcp

## Description

MCP server for fetching Jira issue data via the Jira API.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mc5k4w2zte)
- **Repository:** <https://github.com/trongtai1801/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": "trongtai1801-jira-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trongtai1801-jira-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trongtai1801-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