# Jira

> Use this tool when you need to integrate project management and issue tracking capabilities into your workflow, solving problems such as streamlining project organization, automating issue creation, and enhancing team collaboration. It provides inputs such as JQL searches and project listings, and outputs like created or updated issues, with support for PAT and Bearer token authentication. Ideal for use cases requiring robust Jira integration, including project planning, bug tracking, and agile development.

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

## Description

A Rust-based MCP server providing comprehensive Jira integration through issue creation, updating, searching via JQL, field management, project and board listing, and user search functionality. Features robust error handling, field processing for complex data structures, ADF text extraction, and support for both PAT and Bearer token authentication.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/xerenahmed-jira)
- **Repository:** <https://github.com/xerenahmed/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": "xerenahmed-jira"
    }
  }
}
```

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