Jira Mcp
A Go-based MCP (Model Control Protocol) connector for Jira that allows AI assistants like Claude to interact with Atlassian Jira. This tool offers a smooth interface for AI models to carry out common Jira tasks such as issue management, sprint planning, and workflow transitions.
Overview
What is Jira-MCP?
Jira-MCP (Model Control Protocol) is a connector based on Go, designed for smooth interaction between AI assistants, like Claude, and Atlassian Jira. This tool enables AI models to carry out various Jira operations, such as issue management, sprint planning, and workflow transitions, effectively boosting productivity and simplifying project management processes.
Features of Jira-MCP
- AI Integration: Jira-MCP allows AI assistants to communicate with Jira, facilitating automated task management and enhancing efficiency.
- Issue Management: Users can create, update, and manage issues directly through the AI interface, making the workflow easier.
- Sprint Planning: The tool helps in planning sprints by offering AI-driven insights and recommendations based on project data.
- Workflow Transitions: Jira-MCP ensures smooth transitions between different workflow states, allowing tasks to progress without manual intervention.
- User-Friendly Interface: The connector provides a straightforward and intuitive interface for both developers and project managers, making it easy to integrate into existing systems.
How to Use Jira-MCP
- Installation: Start by installing the Jira-MCP connector in your Go environment. Follow the installation instructions provided in the repository.
- Configuration: Set up the connector to connect with your Jira instance. This usually involves configuring API keys and permissions.
- Integrate with AI Assistants: Link the Jira-MCP with your chosen AI assistant. Make sure the assistant has the necessary permissions to interact with Jira.
- Perform Operations: Use the AI assistant to carry out various Jira operations. You can ask the assistant to create issues, update tasks, or retrieve project information.
- Monitor and Optimize: Regularly monitor the connector's performance and adjust configurations as needed to improve efficiency.
Frequently Asked Questions
Q1: What programming language is Jira-MCP built with?
A1: Jira-MCP is developed using the Go programming language, which is recognized for its performance and efficiency.
Q2: Can I use Jira-MCP with any version of Jira?
A2: Jira-MCP is designed to work with Atlassian Jira, but compatibility may differ based on the version. Always check the documentation for specific version requirements.
Q3: Is there a cost associated with using Jira-MCP?
A3: Jira-MCP is open-source and available for public use. However, users should review the licensing terms to ensure compliance.
Q4: How can I contribute to the Jira-MCP project?
A4: Contributions are encouraged! You can contribute by submitting issues, feature requests, or pull requests on the project's GitHub repository.
Q5: Where can I find support for Jira-MCP?
A5: Support can be accessed through the project's GitHub repository, where users can report issues or seek help from the community.
Details
Server Config
{
"mcpServers": {
"jira-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/metorial/mcp-container--nguyenvanduocit--jira-mcp--jira-mcp",
"./out"
],
"env": {
"ATLASSIAN_HOST": "atlassian-host",
"ATLASSIAN_EMAIL": "atlassian-email",
"ATLASSIAN_TOKEN": "atlassian-token"
}
}
}
}