# MCP Atlassian

> Use this tool when you need to integrate AI assistants with Atlassian products, such as Confluence and Jira, to search, create, and manage content through natural language interactions. It solves problems related to content management and issue tracking, providing flexible authentication options for Cloud and Server/Data Center deployments. With MCP Atlassian, AI agents can seamlessly interact with Atlassian products, accepting natural language inputs and returning relevant content and issue information as outputs.

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

## Description

Enables AI assistants to interact with Atlassian products (Confluence and Jira) through natural language, supporting both Cloud and Server/Data Center deployments. Allows searching, creating, and managing content across Jira issues and Confluence pages with flexible authentication options.

## 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:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pi7igwqheu)
- **Repository:** <https://github.com/ArconixForge/mcp-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": "arconixforge-mcp-atlassian"
    }
  }
}
```

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