# MCP Atlassian

> Use this tool when you need to integrate AI functionality with Atlassian products, such as Jira and Confluence, to automate tasks like issue management and content creation. It solves problems like information retrieval and documentation summarization, enabling efficient workflow management. The tool accepts natural language inputs and provides outputs like summarized documentation and created content, making it ideal for use cases that require seamless interaction with Atlassian environments.

Canonical page: https://skillsregistry.net/skills/crew-of-one-mcp-server-atlassian  
JSON: https://api.skillsregistry.net/v1/skills/crew-of-one-mcp-server-atlassian

## Description

An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ptyp0ulsmg)
- **Repository:** <https://github.com/crew-of-one/mcp-server--atlassian>

## 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": "crew-of-one-mcp-server-atlassian"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crew-of-one-mcp-server-atlassian` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crew-of-one-mcp-server-atlassian/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
