# Jira

> Use this tool when you need to automate Jira workflows or integrate AI models with Jira's project management features. It solves problems like issue tracking, project management, and workload analytics by providing a standardized interface to manage issues, projects, and sprints. With inputs like project and issue data, and outputs like workflow automation and analytics, it's ideal for AI assistants or applications requiring reliable and efficient interaction with Jira.

Canonical page: https://skillsregistry.net/skills/uddeshya-23-jira  
JSON: https://api.skillsregistry.net/v1/skills/uddeshya-23-jira

## Description

This Jira MCP server, developed by the Model Context Protocol team, enables AI models to interact with Jira through a standardized interface. Built with TypeScript and leveraging the Jira REST API, it provides tools for managing issues, projects, and sprints. The implementation offers features like connection pooling, comprehensive error handling, and built-in rate limiting to optimize performance and reliability. It's particularly useful for AI assistants or applications needing to automate Jira workflows, enabling tasks like issue tracking, project management, and workload analytics without requiring deep knowledge of the Jira API.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/uddeshya-23-jira)
- **Repository:** <https://github.com/uddeshya-23/mcp-server-jira>

## 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": "uddeshya-23-jira"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/uddeshya-23-jira` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/uddeshya-23-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
