# self-jira-bridge-mcp

> Use this tool when you need to integrate Jira Cloud operations with AI agents, solving problems of workflow automation and issue tracking. It exposes Jira Cloud operations through an interface that accepts API requests and returns relevant data, enabling seamless interaction between AI agents and Jira Cloud. Ideal for use cases where automation of Jira tasks, such as issue creation or status updates, is required.

Canonical page: https://skillsregistry.net/skills/marcosalves90-self-jira-bridge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marcosalves90-self-jira-bridge-mcp

## Description

MCP server that exposes Jira Cloud operations to AI agents.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [GitHub](https://github.com/MarcosAlves90/self-jira-bridge-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": "marcosalves90-self-jira-bridge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcosalves90-self-jira-bridge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcosalves90-self-jira-bridge-mcp/pull`

---
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