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JIRA MCP Server

by klauseduard
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Python
Remote

JIRA MCP Server

A simple Model Context Protocol (MCP) "vibe-coded" server for integrating JIRA with AI coding assistants. MCP is an open protocol that enables seamless integration between LLM applications and external data sources and tools.

Originally designed for Cursor IDE, this server now supports multiple AI coding assistants including Claude Code and Codex CLI.

BEWARE! Even this document is almost entirely written by AI coding assistant.

Features

  • Get JIRA issues by key

  • Search issues using JQL (JIRA Query Language)

  • Create and update issues (note: may have limitations with heavily customized JIRA projects)

  • Add comments to issues

  • Clone issues (useful for working around mandatory custom fields, but may have limitations with complex project configurations)

  • Configurable field selection

  • Pagination support

  • Detailed error handling and logging

  • Log work

Related MCP server: Cursor DB MCP Server

User Workflows

Search and Filter Flow

graph LR A[Start Search] -->|Enter JQL| B[Search Query] B -->|Apply Filters| C[Results] C -->|Select Fields| D[Customized View] D -->|Pagination| E[More Results] subgraph Search Options F[JQL Query] G[Field Selection] H[Result Limit] I[Start Position] end B -->|Uses| F C -->|Uses| G C -->|Uses| H C -->|Uses| I

Issue Cloning Flow

graph LR A[Find Source Issue] -->|Copy Key| B[Clone Issue] B -->|Customize Fields| C[Modified Clone] C -->|Create| D[New Issue] subgraph Clone Options E[Change Project] F[Modify Fields] G[Copy Attachments] H[Add Source Link] end B -->|Can Use| E B -->|Can Use| F B -->|Can Use| G B -->|Can Use| H

For detailed technical architecture and system workflows, including issue lifecycle and authentication flows, see ARCHITECTURE.md.

About MCP

This server implements the Model Context Protocol specification, enabling AI coding assistants to seamlessly interact with JIRA data. The protocol standardizes how LLM applications communicate with external data sources and tools.

🚀 Quick Integration

For AI Assistant Integration: See AI_INTEGRATION.md for complete setup guides for:

  • 🤖 Claude Code - Modern MCP integration

  • 🎯 Cursor IDE - Original integration (multiple setup options)

  • 🧠 Codex CLI - See the Codex CLI section in AI_INTEGRATION.md

Setup

  1. Create a virtual environment:

python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate

  1. Install dependencies:

pip install -r requirements.txt

  1. Configure environment variables: Create a .env file with:

JIRA_URL=your_jira_url JIRA_USERNAME=your_username JIRA_API_TOKEN=your_api_token

Usage

Run the server:

./run-jira-mcp.sh

Development

The project follows a modular structure:

src/ ├── core/ # Core JIRA client implementation │ ├── __init__.py │ ├── client.py # JiraClient class │ └── config.py # Configuration management ├── models/ # Pydantic models for validation │ ├── __init__.py │ ├── comment.py # Comment-related models │ ├── issue.py # Issue-related models │ └── worklog.py # Worklog-related models └── operations/ # MCP operation implementations ├── __init__.py ├── comments.py # Comment operations ├── issues.py # Issue operations ├── projects.py # Project operations └── worklog.py # Worklog operations

Key Components

  1. Models (src/models/)

    • IssueType, IssueArgs - Issue creation/update models

    • IssueTransitionArgs - Issue state transition model

    • CloneIssueArgs - Issue cloning model

    • CommentArgs, GetCommentsArgs - Comment models

    • LogWorkArgs - Work logging model

  2. Core (src/core/)

    • JiraClient - Main JIRA API client

    • JiraConfig - Configuration management

    • Error handling and logging

  3. Operations (src/operations/)

    • Issue management (get, search, create, update, clone)

    • Comment handling (add, get)

    • Work logging

    • Project listing

The project follows the implementation plan outlined in IMPLEMENTATION_PLAN.md.

Current version: v0.4

  • ✅ Basic JIRA integration

  • ✅ Search functionality with JQL support

  • ✅ Issue management (create, update, clone) with limitations for heavily customized projects

  • ✅ Comment functionality

  • ✅ Work logging

Related Links

License

MIT

Security Considerations

This tool is primarily designed for personal workflow automation and individual developer use. Please be aware of the following security considerations:

⚠️ Usage Recommendations

  • Personal/Development Use: Ideal for individual developers managing their JIRA workflows

  • Small Team Use: Suitable for trusted team environments with proper security measures

  • NOT Recommended For:

    • Production deployment in its current form

    • Multi-tenant environments

    • Public-facing services

    • Processing sensitive/regulated data

🔒 Security Requirements

If you choose to use this tool, please ensure:

  1. Your JIRA instance uses HTTPS

  2. You're using API tokens (not passwords) for authentication

  3. Your .env file is properly secured and not committed to version control

  4. You understand the risks of running third-party tools with JIRA access

🛡️ Best Practices

  1. Regularly rotate your API tokens

  2. Monitor your JIRA audit logs for unexpected activity

  3. Use the most recent version of the tool

  4. Review the code before use in your environment

📝 Note on Enterprise Usage

This tool is not currently hardened for enterprise security requirements. If you need a solution for enterprise deployment, consider:

  • Implementing additional security controls

  • Conducting a security review

  • Contributing security improvements back to the project

  • Using official enterprise-grade alternatives

For security-related concerns or to report vulnerabilities, please open an issue or contact the maintainers directly.

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