# jira-worklog-mcp

> Use this tool when you need to log and track work hours spent on Jira Cloud tasks from AI agents, enabling seamless integration and automated time tracking. It solves problems of manual time logging and provides a standardized interface for MCP clients to input worklog data and receive output in a compatible format. Ideal for use cases where AI agents require efficient time tracking and reporting for Jira Cloud projects.

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

## Description

MCP server for logging and checking Jira Cloud worklogs from AI agents such as Claude Code, Claude Desktop, Cursor, or any MCP client that supports stdio.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dbth7nxywm)
- **Repository:** <https://github.com/luizeduul/mcp-worklog-reg>

## 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": "luizeduul-mcp-jira-worklog"
    }
  }
}
```

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