# litejira-mcp

> Use this tool when you need to integrate AI assistants with issue tracking systems, enabling natural language interactions for creating, searching, and managing issues. It solves problems of manual issue tracking and provides a client-side MCP server interface for inputs like natural language queries and outputs like issue updates. Ideal for use cases where AI-driven project management and issue tracking automation are required.

Canonical page: https://skillsregistry.net/skills/untag-lab-litejira-mcp  
JSON: https://api.skillsregistry.net/v1/skills/untag-lab-litejira-mcp

## Description

A client-side MCP server that enables AI assistants to interact with the LiteJira issue tracking system for creating, searching, and managing issues via natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **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/ls6dquqpk9)
- **Repository:** <https://github.com/UNTAG-LAB/litejira-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": "untag-lab-litejira-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/untag-lab-litejira-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/untag-lab-litejira-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