mcp-jira-devflow

Integration between Git workflows and Jira issues. Generates branch names from issues, validates commit messages, and provides PR context from Jira specifications.

AI-powered sprint planning, velocity analysis, and capacity forecasting. Use for planning sprints, predicting outcomes, and providing agile recommendations based on historical data.

Git repository operations including branching, committing, pushing, and viewing history. Use for version control tasks. Destructive operations require explicit approval.

Read data from Jira including issues, comments, sprints, and execute JQL queries. Use when you need to fetch or search Jira data without making changes.

Create and update Jira issues, add comments, transition statuses, and manage sprints. Use when you need to make changes to Jira data. Supports dry-run mode for validation.

Coordinate multi-step workflows across skills with execution plans, state tracking, and rollback support. Use when tasks require multiple coordinated operations.

Create and manage GitHub Pull Requests with templates, reviewers, and labels. Use when code is ready for review. Merging requires explicit approval.

Run unit and integration tests, generate coverage reports, and view results. Use to validate code changes before committing or merging.