Jira & Linear▌
by dxheroes
Access and interact with Jira and Linear tickets directly in conversations—no context switching to Jira ticketing softwa
Integrates with Jira and Linear issue tracking systems to enable retrieval and interaction with tickets directly within conversations, eliminating context switching when accessing project management data.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Software developers tracking project tasks
- / Project managers reviewing ticket status
- / Teams coordinating work across issue trackers
capabilities
- / Retrieve Jira tickets and project data
- / Query Linear issues and workspace information
- / Search across tickets by status, assignee, or keywords
- / Access ticket details, comments, and metadata
- / Update ticket status and fields
what it does
Connects AI assistants to Jira and Linear issue tracking systems, allowing you to query and interact with tickets without leaving your conversation.
how to install
You can install Jira & Linear in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Jira & Linear is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
MCP DevTools
MCP (Model Context Protocol) DevTools is a collection of packages that enable AI assistants to interact with external tools and services through the Model Context Protocol.
✨ Highlights
- 🔌 Seamless Integration: Connect AI assistants to external services and tools
- 🛠 Extensible Framework: Easily create new integrations with the Model Context Protocol
- 🔍 Powerful Interactions: Enable AI to access and manipulate data from external services
- 📊 Robust Integrations: Comprehensive functionality for Jira and Linear
- 🚀 Developer-Friendly: Simple setup with detailed documentation for the best developer experience
Note: This project is currently in beta (0.x.x versions). APIs may change between minor versions during the beta phase.
📦 Available Packages
| Package | Description | Status |
|---|---|---|
| @mcp-devtools/jira | Jira MCP server integration | |
| @mcp-devtools/linear | Linear MCP server integration |
🚀 Quick Start
Configuration in Cursor IDE
Jira Integration
- Open Cursor Settings → MCP
- Click "Add New MCP Server"
- Fill in the following details:
- Name:
Jira - Type:
command - Command:
env JIRA_URL=https://[YOUR_WORKSPACE].atlassian.net JIRA_API_MAIL=[YOUR_EMAIL] JIRA_API_KEY=[YOUR_API_KEY] npx -y @mcp-devtools/jira
- Name:
Required Environment Variables:
JIRA_URL: Your Jira instance URL (e.g.,https://your-company.atlassian.net)JIRA_API_MAIL: Your Atlassian account emailJIRA_API_KEY: Your Atlassian API key (Create one here)
Linear Integration
- Open Cursor Settings → MCP
- Click "Add New MCP Server"
- Fill in the following details:
- Name:
Linear - Type:
command - Command:
env LINEAR_API_KEY=[YOUR_API_KEY] npx -y @mcp-devtools/linear
- Name:
Required Environment Variables:
LINEAR_API_KEY: Your Linear API key (Create one in Linear app: Settings → API → Create Key)
Using Tools
Once configured, you can interact with tools through natural language commands in Cursor.
Jira Examples:
# Fetch a specific ticket
get ticket SCRUM-123
# Search for tickets
execute jql "project = SCRUM AND status = 'In Progress'"
# Get ticket details
read ticket SCRUM-123
# Create a new ticket
create ticket project=SCRUM summary="Fix login bug" description="Users can't log in" issuetype=Bug
Linear Examples:
# Get a specific issue
get_issue SS-33
# Search for issues
search_issues "priority is high" with limit 5
# Create a new issue
create_issue for team "eng" titled "Fix API response format" with description "The API is returning incorrect data format" and priority 1
# List teams
list_teams
For a complete list of available commands, refer to the package documentation:
📖 Documentation
- Jira Package Documentation
- Linear Package Documentation
- Getting Started Guide
- Contributing Guidelines
🧩 Repository Structure
mcp-devtools/
├── core/ # Infrastructure and utility packages
│ ├── typescript-config/ # Shared TypeScript configuration
│ └── http-client/ # HTTP client utilities
│
├── packages/ # Functional MCP server packages
│ ├── jira/ # Jira integration MCP server
│ │ └── README.md # Package documentation
│ └── linear/ # Linear integration MCP server
│ └── README.md # Package documentation
│
└── ...
🛠 Development
# Install dependencies
pnpm install
# Build all packages
pnpm build
# Development with auto-rebuild
pnpm dev
🤝 Contributing
Contributions are welcome! Please check our Contributing Guidelines for details.
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🆘 Support
- GitHub Issues: For bug reports and feature requests
- Discussions: For questions and community support
Project Structure
mcp-devtools/
├── core/ # Infrastructure and utility packages
│ ├── typescript-config/ # Shared TypeScript configuration
│ └── http-client/ # HTTP client utilities
│
├── packages/ # Functional MCP server packages
│ ├── jira/ # Jira integration MCP server
│ └── linear/ # Linear integration MCP server
├── package.json # Root package configuration
└── pnpm-workspace.yaml # Workspace configuration
Development
Getting Started
This repository uses pnpm workspaces for package management. To get started:
-
Install pnpm if you don't have it:
npm install -g pnpm -
Install dependencies:
pnpm install -
Build all packages:
pnpm build
Development Workflow
For development with auto-rebuild:
pnpm dev
Publishing to NPM
This repository is set up with automated release management using release-please and GitHub Actions for publishing packages to npmjs.org.
Beta Status
All published packages are currently in beta status (0.x.x versions) and use the beta npm tag. During this phase:
- Breaking changes may occur in minor version updates
- Install the packages using:
npm install @mcp-devtools/package-name@beta - When the project reaches stability, we will release version 1.0.0
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a workspace script:
pnpm inspector
The Inspector will provide a URL to access debugging tools in your browser.
Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Conventional Commits
This project uses Conventional Commits to automate versioning and changelog generation. Please format your commit messages following this pattern:
<type>[optional scope]: <description>
[optional body]
[optional footer(s)]
Types:
feat: A new featurefix: A bug fixdocs: Documentation changesstyle: Changes that don't affect the code's meaning (formatting, etc.)refactor: Code changes that neither fix bugs nor add featuresperf: Performance improvementstest: Adding or fixing testschore: Changes to the build process or auxiliary tools
Examples:
feat(jira): add comment creation endpoint
fix(http-client): resolve timeout issue
docs: update README with new setup instructions
Breaking changes should be indicated by adding an exclamation mark after the type/scope and describing the breaking change in the body of the commit message:
feat!: redesign http-client API
BREAKING CHANGE: The http-client API has been completely redesigned to improve usability.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Troubleshooting
Common Issues
-
Connection Problems
- Ensure your API credentials are correct
- Check network connectivity to your service instances
- Verify URLs and workspace names
-
Permission Errors
- Ensure your accounts have appropriate permissions for the actions you're attempting
- API tokens may need specific permissions enabled in your account settings
-
Command Not Found
- If using npx, ensure you're connected to npm registry
- For local installations, check that your package installation was successful
For more troubleshooting help, open an issue on our GitHub repository.
Roadmap
Future development plans for MCP DevTools include:
- Additional service integrations (GitHub, Confluence, etc.)
- Enhanced security features
- Support for custom authentication methods
- Expanded querying capabilities
- Performance optimizations
Community and Support
- GitHub Issues: For bug reports and feature requests
- Discussions: For questions and community support
- Contributing: See our contributing guidelines above
We welcome feedback and contributions from the community to help improve these tools.
FAQ
- What is the Jira & Linear MCP server?
- Jira & Linear is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Jira & Linear?
- This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★30 reviews- ★★★★★Yuki Choi· Dec 28, 2024
Useful MCP listing: Jira & Linear is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Liam Srinivasan· Dec 24, 2024
Jira & Linear has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Kiara Brown· Dec 12, 2024
Jira & Linear is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Oshnikdeep· Nov 23, 2024
Jira & Linear is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Yuki Thomas· Nov 19, 2024
Jira & Linear reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Oct 14, 2024
Jira & Linear has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ava Srinivasan· Oct 10, 2024
We wired Jira & Linear into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Sakshi Patil· Sep 17, 2024
Jira & Linear reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Hassan Rahman· Sep 17, 2024
According to our notes, Jira & Linear benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★William Martinez· Sep 1, 2024
Useful MCP listing: Jira & Linear is the kind of server we cite when onboarding engineers to host + tool permissions.
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