mcp-server-atlassian-jira
Seamlessly connect AI assistants to Jira for project and issue management via Model Context Protocol.
Key Features
Use Cases
README
Connect AI to Your Jira Projects
Transform how you manage and track your work by connecting Claude, Cursor AI, and other AI assistants directly to your Jira projects, issues, and workflows. Get instant project insights, streamline issue management, and enhance your team collaboration.
What You Can Do
✅ Ask AI about your projects: "What are the active issues in the DEV project?"
✅ Get issue insights: "Show me details about PROJ-123 including comments"
✅ Track project progress: "List all high priority issues assigned to me"
✅ Manage issue comments: "Add a comment to PROJ-456 about the test results"
✅ Search across projects: "Find all bugs in progress across my projects"
✅ Check workflow status: "What are the available statuses for the DEV project?"
Perfect For
- Developers who need quick access to issue details and development context
- Project Managers tracking progress, priorities, and team assignments
- Scrum Masters managing sprints and workflow states
- Team Leads monitoring project health and issue resolution
- QA Engineers tracking bugs and testing status
- Anyone who wants to interact with Jira using natural language
Quick Start
Get up and running in 2 minutes:
1. Get Your Jira Credentials
Generate a Jira API Token:
- Go to Atlassian API Tokens
- Click Create API token
- Give it a name like "AI Assistant"
- Copy the generated token immediately (you won't see it again!)
2. Try It Instantly
# Set your credentials
export ATLASSIAN_SITE_NAME="your-company" # for your-company.atlassian.net
export ATLASSIAN_USER_EMAIL="your.email@company.com"
export ATLASSIAN_API_TOKEN="your_api_token"
# List your Jira projects
npx -y @aashari/mcp-server-atlassian-jira ls-projects
# Get details about a specific project
npx -y @aashari/mcp-server-atlassian-jira get-project --project-key-or-id DEV
# Search for issues
npx -y @aashari/mcp-server-atlassian-jira ls-issues --project-key-or-id DEV
Connect to AI Assistants
For Claude Desktop Users
Add this to your Claude configuration file (~/.claude/claude_desktop_config.json):
{
"mcpServers": {
"jira": {
"command": "npx",
"args": ["-y", "@aashari/mcp-server-atlassian-jira"],
"env": {
"ATLASSIAN_SITE_NAME": "your-company",
"ATLASSIAN_USER_EMAIL": "your.email@company.com",
"ATLASSIAN_API_TOKEN": "your_api_token"
}
}
}
}
Restart Claude Desktop, and you'll see "🔗 jira" in the status bar.
For Other AI Assistants
Most AI assistants support MCP. Install the server globally:
npm install -g @aashari/mcp-server-atlassian-jira
Then configure your AI assistant to use the MCP server with STDIO transport.
Alternative: Configuration File
Create ~/.mcp/configs.json for system-wide configuration:
{
"jira": {
"environments": {
"ATLASSIAN_SITE_NAME": "your-company",
"ATLASSIAN_USER_EMAIL": "your.email@company.com",
"ATLASSIAN_API_TOKEN": "your_api_token"
}
}
}
Alternative config keys: The system also accepts "atlassian-jira", "@aashari/mcp-server-atlassian-jira", or "mcp-server-atlassian-jira" instead of "jira".
Real-World Examples
📋 Explore Your Projects
Ask your AI assistant:
- "List all projects I have access to"
- "Show me details about the DEV project"
- "What projects contain the word 'Platform'?"
- "Get project information for PROJ-123"
🔍 Search and Track Issues
Ask your AI assistant:
- "Find all high priority issues in the DEV project"
- "Show me issues assigned to me that are in progress"
- "Search for bugs reported in the last week"
- "List all open issues for the mobile team"
📝 Manage Issue Details
Ask your AI assistant:
- "Get full details about issue PROJ-456 including comments"
- "Show me the development information for PROJ-789"
- "What's the current status and assignee of PROJ-123?"
- "Display all comments on the authentication bug"
💬 Issue Communication
Ask your AI assistant:
- "Add a comment to PROJ-456: 'Code review completed, ready for testing'"
- "Comment on the login issue that it's been deployed to staging"
- "Add testing results to issue PROJ-789"
🔄 Workflow Management
Ask your AI assistant:
- "What are the available statuses in the DEV project?"
- "Show me all possible workflow states"
- "What status options are available for project MOBILE?"
- "List the workflow states for issue transitions"
Troubleshooting
"Authentication failed" or "403 Forbidden"
-
Check your API Token permissions:
- Go to Atlassian API Tokens
- Make sure your token is still active and hasn't expired
-
Verify your site name format:
- If your Jira URL is
https://mycompany.atlassian.net - Your site name should be just
mycompany
- If your Jira URL is
-
Test your credentials:
bash# Test your credentials work npx -y @aashari/mcp-server-atlassian-jira ls-projects
"Project not found" or "Issue not found"
-
Check project key spelling:
bash# List your projects to see the correct keys npx -y @aashari/mcp-server-atlassian-jira ls-projects -
Verify access permissions:
- Make sure you have access to the project in your browser
- Some projects may be restricted to certain users
"No results found" when searching
-
Try different search terms:
- Use project keys instead of project names
- Try broader search criteria
-
Check issue permissions:
- You can only access issues you have permission to view
- Ask your admin if you should have access to specific projects
Claude Desktop Integration Issues
- Restart Claude Desktop after updating the config file
- Check the status bar for the "🔗 jira" indicator
- Verify config file location:
- macOS:
~/.claude/claude_desktop_config.json - Windows:
%APPDATA%\\Claude\\claude_desktop_config.json
- macOS:
Getting Help
If you're still having issues:
- Run a simple test command to verify everything works
- Check the GitHub Issues for similar problems
- Create a new issue with your error message and setup details
Frequently Asked Questions
What permissions do I need?
Your Atlassian account needs:
- Access to Jira with the appropriate permissions for the projects you want to query
- API token with appropriate permissions (automatically granted when you create one)
Can I use this with Jira Server (on-premise)?
Currently, this tool only supports Jira Cloud. Jira Server/Data Center support may be added in future versions.
How do I find my site name?
Your site name is the first part of your Jira URL:
- URL:
https://mycompany.atlassian.net→ Site name:mycompany - URL:
https://acme-corp.atlassian.net→ Site name:acme-corp
What AI assistants does this work with?
Any AI assistant that supports the Model Context Protocol (MCP):
- Claude Desktop (most popular)
- Cursor AI
- Continue.dev
- Many others
Is my data secure?
Yes! This tool:
- Runs entirely on your local machine
- Uses your own Jira credentials
- Never sends your data to third parties
- Only accesses what you give it permission to access
Can I search across multiple projects?
Yes! When you don't specify a project, searches will look across all projects you have access to. You can also use JQL queries for advanced cross-project searches.
Support
Need help? Here's how to get assistance:
- Check the troubleshooting section above - most common issues are covered there
- Visit our GitHub repository for documentation and examples: github.com/aashari/mcp-server-atlassian-jira
- Report issues at GitHub Issues
- Start a discussion for feature requests or general questions
Made with ❤️ for teams who want to bring AI into their project management workflow.
Star History
Repository Owner
User
Repository Details
Programming Languages
Tags
Topics
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
Related MCPs
Discover similar Model Context Protocol servers
Jira MCP
AI-Ready Jira Server for Real-World Developer Workflows
Jira MCP is an opinionated server implementation of the Model Context Protocol (MCP) tailored for Jira automation and integration. It provides advanced tools to manage Jira issues, sprints, development data, and project versions, reflecting workflows of real engineering and QA teams. Designed for seamless AI and tool integrations, it supports context-rich retrieval of Jira information for enhancing development transparency and automation.
- ⭐ 69
- MCP
- nguyenvanduocit/jira-mcp
MCP Atlassian
AI-powered MCP server integrating Confluence and Jira workflows.
MCP Atlassian serves as a Model Context Protocol (MCP) server interface for Atlassian products such as Confluence and Jira, supporting both cloud and server/data center deployments. It enables AI assistants to access, search, and update Atlassian data contextually via standardized MCP endpoints. The integration streamlines tasks like intelligent issue filtering, documentation creation, and context-driven updates directly through natural language. Multiple authentication modes, including API tokens and OAuth 2.0, are supported for secure connectivity.
- ⭐ 3,574
- MCP
- sooperset/mcp-atlassian
MCP Jira Server for Claude Code
A full-featured Model Context Protocol server for integrating Jira with Claude Code.
Provides a comprehensive MCP server enabling seamless integration of Jira functionalities with Claude Code. Supports issue management, sprint operations, comments, attachments, batch processing, and agile workflows via a standardized protocol for model context. Designed for secure, environment-based configuration and optimized for both individual and batch operations within Jira.
- ⭐ 5
- MCP
- tom28881/mcp-jira-server
Jira Communication Server MCP Server
A TypeScript-based MCP server for seamless Jira interactions
Jira Communication Server MCP Server enables integration with Jira by exposing standardized tools for querying, creating, editing, and managing Jira issues via the Model Context Protocol. It supports a wide range of Jira operations, including executing JQL queries, managing tickets, handling attachments, assigning tickets, and interacting with Jira projects and statuses. The server is designed for use in environments supporting the MCP, such as Claude Desktop, and provides debugging utilities for MCP communication.
- ⭐ 25
- MCP
- KS-GEN-AI/jira-mcp-server
Plane MCP Server
Enables LLMs to manage Plane.so projects and issues via the Model Context Protocol.
Plane MCP Server provides a standardized interface to connect large language models with Plane.so project management APIs. It enables LLMs to interact directly with project and issue data, supporting tasks such as listing projects, retrieving detailed information, creating and updating issues, while prioritizing user control and security. Installation is streamlined through tools like Smithery, and configuration supports multiple clients including Claude for Desktop.
- ⭐ 32
- MCP
- kelvin6365/plane-mcp-server
Azure DevOps MCP Server
Standardized AI access to Azure DevOps via Model Context Protocol.
Implements the Model Context Protocol (MCP) to enable AI assistants to securely and efficiently interact with Azure DevOps resources. Provides a standardized bridge for managing projects, work items, repositories, pull requests, and pipelines through natural language interfaces. Supports modular authentication and a feature-based architecture for scalability and integration. Facilitates seamless integration with AI tools such as Claude Desktop and Cursor AI.
- ⭐ 306
- MCP
- Tiberriver256/mcp-server-azure-devops
Didn't find tool you were looking for?