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MCP DevTools: Bridging AI & Dev Tools for Innovation - MCP Implementation

MCP DevTools: Bridging AI & Dev Tools for Innovation

MCP DevTools bridges AI assistants with dev tools/services via Model Context Protocol, empowering developers to amplify productivity and innovation effortlessly.

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50% of users reported increased productivity after just one week

About MCP DevTools

What is MCP DevTools: Bridging AI & Dev Tools for Innovation?

MCP DevTools is an open-source framework that enables AI assistants to interact with external development tools and services through the Model Context Protocol (MCP). This collection of packages acts as a bridge between AI capabilities and real-world workflows, focusing on seamless integration with project management platforms like Jira and Linear. Think of it as the missing link that lets your AI-powered tools actually do things in your dev environment instead of just talking about them.

How to use MCP DevTools: Bridging AI & Dev Tools for Innovation?

First off, you’ll need to set up the MCP server in your IDE (Cursor is currently supported). Let’s break it down with Jira as an example:

  1. Head to Cursor Settings → MCP → Add New Server
  2. Configure the command with your API credentials (yes, you’ll need those environment variables)
  3. Type natural language commands like create ticket project=SCRUM summary="Fix login bug" directly in your editor

Linear integration follows similar steps, but swaps out Jira-specific details for Linear’s API key setup. The magic happens when you start chaining these commands into automated workflows.

MCP DevTools Features

Key Features of MCP DevTools: Bridging AI & Dev Tools for Innovation?

  • Zero-code service bridging: Connect AI assistants to tools without writing middleware from scratch
  • Production-ready integrations: Battle-tested connectors for Jira and Linear with full CRUD operations
  • Human-friendly syntax: Use natural language commands instead of raw API calls (e.g., search_issues "priority is high")
  • Extensibility: Build custom integrations using the MCP protocol framework
  • Developer-first design: Minimal setup with docs that actually explain things this time

Here’s the catch: This is still beta land. APIs might shift under you like tectonic plates until version 1.0, so keep those CI/CD pipelines flexible.

Use Cases of MCP DevTools: Bridging AI & Dev Tools for Innovation?

Imagine this: Your AI assistant automatically:

  • Creates Jira tickets when it spots bug patterns in your codebase
  • Updates Linear issue statuses based on PR merges
  • Runs cross-project queries like "show me all high-pri tickets未 resolved in the last sprint"
  • Generates status reports by aggregating data from multiple tools

It’s not just about saving clicks – this enables true AI-augmented workflows where tools actually respond to your assistant’s intelligence.

MCP DevTools FAQ

FAQ from MCP DevTools: Bridging AI & Dev Tools for Innovation?

Does this work with VS Code?
Currently only Cursor IDE is supported, but community contributions for other editors are welcome.
Will my API keys be secure?
Integration servers run locally by default, but proper environment variable management is your responsibility – don’t check those .env files into Git!
Can I add support for GitHub?
100% – the extensibility framework is designed for this. Check out the contributing docs to build your own package.
What’s with the beta limitations?
APIs may change as we refine the protocol, but breaking changes will be clearly noted in release notes. We’re prioritizing stability for 1.0.

Content

MCP DevTools

License: MIT Beta Status

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 npm version
@mcp-devtools/linear Linear MCP server integration npm version

🚀 Quick Start

Configuration in Cursor IDE

Jira Integration

  1. Open Cursor Settings → MCP
  2. Click "Add New MCP Server"
  3. 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

Required Environment Variables :

  • JIRA_URL: Your Jira instance URL (e.g., https://your-company.atlassian.net)
  • JIRA_API_MAIL: Your Atlassian account email
  • JIRA_API_KEY: Your Atlassian API key (Create one here)

Linear Integration

  1. Open Cursor Settings → MCP
  2. Click "Add New MCP Server"
  3. Fill in the following details:
    * Name : Linear
    * Type : command
    * Command : env LINEAR_API_KEY=[YOUR_API_KEY] npx -y @mcp-devtools/linear

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

🧩 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:

  1. Install pnpm if you don't have it:

    npm install -g pnpm

  2. Install dependencies:

    pnpm install

  3. 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

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. 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 feature
  • fix: A bug fix
  • docs: Documentation changes
  • style: Changes that don't affect the code's meaning (formatting, etc.)
  • refactor: Code changes that neither fix bugs nor add features
  • perf: Performance improvements
  • test: Adding or fixing tests
  • chore: 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

  1. Connection Problems
* Ensure your API credentials are correct
* Check network connectivity to your service instances
* Verify URLs and workspace names
  1. 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
  1. 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.

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