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atlassian-mcp-server MCP Server: Installation, Config & Review (2026)

Install the atlassian-mcp-server MCP server for Claude Desktop, Cursor, and Claude Code. Includes advanced config snippets, real-world use cases, and troubleshooting. ⭐ 1,084 GitHub stars.

atlassian-mcp-server MCP Server: Complete Setup Guide

Last Updated: October 05, 2026

🤖 AI Snapshot / TL;DR: The atlassian-mcp-server is a production-ready, open-source Model Context Protocol (MCP) server that enables AI agents (like Claude Desktop, Cursor, and Claude Code) to securely interact with api systems. It features local execution, standardized tool definitions, and is actively maintained with ⭐ 1,084 GitHub stars.

🔍 What is atlassian-mcp-server?

Official remote mcp server for atlassian. securely connect jira, confluence, jira service management, bitbucket, and compass to claude, chatgpt, cursor, vs code, and other ai tools using oauth 2.1 or api tokens.. By bridging the gap between large language models and your local or remote api environment, it allows you to automate complex workflows using natural language prompts. Instead of writing custom scripts, you can simply instruct your AI assistant to perform tasks directly through this standardized protocol.

✨ Key Features

  • Retrieve and review recordings of videos and meetings from loom.**
  • Create and update work items or pages based on natural language commands.**
  • Automate repetitive work, like generating work items from meeting notes or specs.**
  • one-click setup
  • supported clients

🎯 Real-World Use Cases for atlassian-mcp-server

  • Workflow Automation: Connect your AI assistant directly to this tool to eliminate manual copy-pasting.
  • Rapid Prototyping: Test API integrations or data flows in seconds using natural language prompts.
  • Knowledge Retrieval: Instantly search and retrieve specific information without manually navigating the interface.

⚙️ Installation & Configuration

Prerequisites

  • Node.js (v18+) or Python (v3.10+) installed locally.
  • Claude Desktop, Cursor, or another MCP-compatible client.

Step 1: Install the Server

```bash

Recommended: Run directly via npx (no global install needed)

npx -y atlassian/atlassian-mcp-server

Alternative: Clone and run locally

git clone https://github.com/atlassian/atlassian-mcp-server.git cd atlassian-mcp-server npm install # or pip install -r requirements.txt ```

Step 2: Update Your MCP Config

Add the following to your claude_desktop_config.json (Mac: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\) or .cursor/mcp.json:

```json { "mcpServers": { "atlassian-mcp-server": { "command": "npx", "args": ["-y", "atlassian/atlassian-mcp-server"] } } } ``` (Note: Restart your AI client after saving the configuration file.)

⚙️ Advanced Configuration Options

For production environments, you may need to customize the server behavior. You can pass environment variables in your MCP config:

```json { "mcpServers": { "atlassian-mcp-server": { "command": "npx", "args": ["-y", "atlassian/atlassian-mcp-server"], "env": { "API_KEY": "your_api_key_here", "TIMEOUT_MS": "30000" } } } } ``` Note: Always use environment variables for sensitive credentials. Never hardcode API keys directly in the JSON.

💡 Real-World Example Prompts

Once connected, try these high-value prompts in Claude or Cursor:

  1. "Use atlassian-mcp-server to extract structured data or automate a specific api workflow."
  2. "Configure the atlassian-mcp-server MCP server to optimize for speed and reliability."
  3. "Analyze the output from atlassian-mcp-server and format it into a comprehensive Markdown report."

⚖️ How atlassian-mcp-server Compares to Alternatives

Feature atlassian-mcp-server Generic Alternatives Manual Scripting
Setup Time < 2 minutes (npx) 5-10 minutes Hours
AI Native ✅ Yes, built for LLMs ⚠️ Requires custom prompts ❌ No
Maintenance ✅ Auto-updated via npx ⚠️ Manual dependency updates ❌ High maintenance
Best For Fast AI automation Custom edge cases Highly specific needs

🛠️ Common Issues & Troubleshooting

  • "MCP Server Failed to Start": Ensure you have Node.js (v18+) or Python (v3.10+) installed and added to your system's PATH.
  • Rate Limiting / 429 Errors: If making rapid requests, the target API may block you. Add delays between prompts or configure proxy settings.
  • Permission Denied: For local tools, ensure the MCP server has explicit read/write permissions granted in your configuration file.

🔄 Related MCP Servers

If you found this useful, explore these complementary tools:

❓ Frequently Asked Questions (FAQ)

Q: Is atlassian-mcp-server free to use?
A: Yes, this is an open-source MCP server. However, the underlying service it connects to (if any) may require its own API key or subscription.

Q: Which AI clients support atlassian-mcp-server?
A: Any MCP-compliant client, including Claude Desktop, Cursor, Windsurf, Cline, and Claude Code.

Q: How do I update atlassian-mcp-server?
A: If installed via npx, it automatically fetches the latest version on each run. If cloned manually, run git pull in the repository directory.

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