# Jira

> Use this tool when you need to integrate conversational AI with Jira ticket management, enabling automated interactions for tasks like creating, updating, and commenting on tickets. It solves problems related to streamlining Jira workflows and provides a standardized interface for listing, viewing, and managing ticket statuses. Ideal for developers and project managers seeking to leverage AI assistants in their Jira-based project management processes.

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

## Description

Jira MCP Server provides a TypeScript-based integration with Jira, enabling AI assistants to interact directly with Jira tickets through standardized tools. The server supports core ticket management operations like listing, viewing, creating, commenting, and updating ticket statuses, with full MCP protocol support for seamless interaction. Built for developers and project managers who want to streamline their Jira workflow through conversational AI interfaces.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

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

## 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": "kornbed-jira"
    }
  }
}
```

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