# Atlassian Data Center MCP

> Atlassian Data Center MCP — mrrefactoring-atlassian-dc-mcp. Use this tool when you need to integrate AI assistants with self-hosted Atlassian Data Center products, such as Jira, Confluence, and Bitbucket, to enable search, management, and interaction with issues, pages, and pull requests. It solves problems related to information retrieval, task automation, and workflow optimization, providing a unified interface for AI agents to access and manipulate data. With inputs including natural language queries and outputs such as relevant issues or pages, this tool is ideal for use cases requiring automated data analysis and decision-making.

Canonical page: https://skillsregistry.net/skills/mrrefactoring-atlassian-dc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mrrefactoring-atlassian-dc-mcp

## Description

MCP servers for self-hosted Atlassian Data Center (Jira, Confluence, Bitbucket) enabling AI assistants to search, manage, and interact with issues, pages, and pull requests.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i43ql6l88p)
- **Repository:** <https://github.com/MrRefactoring/atlassian-dc-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": "mrrefactoring-atlassian-dc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mrrefactoring-atlassian-dc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mrrefactoring-atlassian-dc-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
