MCP Featured

Integrate Jira and Confluence with AI

Name: Integrate Jira and Confluence with AI
Availability: OnlineOnly
Author: Hyeonsoo Lee

MCP server that connects AI assistants to Atlassian Jira and Confluence, enabling issue management, page creation, and search across Cloud and Server/Data

Connect

Works with jiraconfluence

Hyeonsoo Lee

Maintainer?

Spark score

out of 100

Status Verified Official

Updated 4 days ago

Version 0.21.1

Models

claude

Add to Favorites

Why it matters

Automate your DevOps and Product Management workflows by connecting Jira and Confluence. Leverage AI for enhanced search, content management, and task tracking across both platforms.

Outcomes

What it gets done

Automatically update Jira tasks from meeting notes.

Perform AI-powered searches and summarizations within Confluence.

Filter Jira tasks intelligently by project and date.

Generate and manage technical documentation.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-atlassian | bash

Capabilities

Tools your agent gets

search_confluence

Search Confluence pages and content with AI-powered summarization capabilities.

get_confluence_page

Retrieve and read specific Confluence pages by title or ID.

create_confluence_page

Create new Confluence pages with formatted content and metadata.

update_confluence_page

Update existing Confluence pages with new content and revisions.

search_jira

Search Jira issues with filtering by project, date, and status.

get_jira_issue

Retrieve detailed information about a specific Jira issue.

create_jira_issue

Create new Jira issues with specified fields and project assignment.

update_jira_issue

Update Jira issue fields, status, and assignee information.

+3 tools

Overview

Atlassian MCP Server

What it does

An MCP server providing 72 tools to connect AI assistants with Atlassian Jira and Confluence for issue and page management.

How it connects

When you need to search, create, and update Jira issues or Confluence pages directly from Claude Desktop or Cursor through your AI assistant.

Source README

MCP Atlassian

PyPI Version
PyPI - Downloads

License

Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Supports both Cloud and Server/Data Center deployments.

https://github.com/user-attachments/assets/35303504-14c6-4ae4-913b-7c25ea511c3e

Confluence Demo

https://github.com/user-attachments/assets/7fe9c488-ad0c-4876-9b54-120b666bb785

Quick Start

1. Get Your API Token

Go to https://id.atlassian.com/manage-profile/security/api-tokens and create a token.

For Server/Data Center, use a Personal Access Token instead. See Authentication.

2. Configure Your IDE

Add to your Claude Desktop or Cursor MCP configuration:

{
  "mcpServers": {
    "mcp-atlassian": {
      "command": "uvx",
      "args": ["mcp-atlassian"],
      "env": {
        "JIRA_URL": "https://your-company.atlassian.net",
        "JIRA_USERNAME": "your.email@company.com",
        "JIRA_API_TOKEN": "your_api_token",
        "CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",
        "CONFLUENCE_USERNAME": "your.email@company.com",
        "CONFLUENCE_API_TOKEN": "your_api_token"
      }
    }
  }
}

Server/Data Center users: Use JIRA_PERSONAL_TOKEN instead of JIRA_USERNAME + JIRA_API_TOKEN. See Authentication for details.

3. Start Using

Ask your AI assistant to:

"Find issues assigned to me in PROJ project"
"Search Confluence for onboarding docs"
"Create a bug ticket for the login issue"
"Update the status of PROJ-123 to Done"

Documentation

Full documentation is available at mcp-atlassian.soomiles.com.

Documentation is also available in llms.txt format, which LLMs can consume easily:

llms.txt - documentation sitemap
llms-full.txt - complete documentation

Topic	Description
Installation	uvx, Docker, pip, from source
Authentication	API tokens, PAT, OAuth 2.0
Configuration	IDE setup, environment variables
HTTP Transport	SSE, streamable-http, multi-user
Tools Reference	All Jira & Confluence tools
Troubleshooting	Common issues & debugging

Compatibility

Product	Deployment	Support
Confluence	Cloud	Fully supported
Confluence	Server/Data Center	Supported (v6.0+)
Jira	Cloud	Fully supported
Jira	Server/Data Center	Supported (v8.14+)

Key Tools

Jira	Confluence
`jira_search` - Search with JQL	`confluence_search` - Search with CQL
`jira_get_issue` - Get issue details	`confluence_get_page` - Get page content
`jira_create_issue` - Create issues	`confluence_create_page` - Create pages
`jira_update_issue` - Update issues	`confluence_update_page` - Update pages
`jira_transition_issue` - Change status	`confluence_add_comment` - Add comments

72 tools total - See Tools Reference for the complete list.

Security

Never share API tokens. Keep .env files secure. See SECURITY.md.

Discussion