claude mcp add jira-github-mcp -- npx -y jira-github-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
2 ★ · TamarEngel/jira-github-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 2 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository TamarEngel/jira-github-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
A modular and extensible Model Context Protocol (MCP) server for Jira and GitHub integration, enabling end-to-end automation of developer workflows - from issue tracking to code changes and pull request management - via AI agents inside the IDE. Overview - **Jira integration**: fetch issues by filters, search via JQL, and transition issues across workflows - **GitHub integration**: create branches, open and merge PRs - **Local Git operations**: stage, commit, and push changes locally - **IDE-native**: works with any MCP-compatible agent (e.g., GitHub Copilot) over stdio - **End-to-end workflow**: Jira issue → branch → code → commit → PR → merge → Jira status update Why Developers constantly context-switch between Jira, GitHub, and their IDE, breaking focus and slowing down delivery. This project transforms that workflow into a seamless, IDE-native, conversational experience, allowing developers to move from Jira issue to merged pull request using natural language and AI-assisted automation. Features - **Retrieve, filter, and search** Jira issues using **fields and JQL** - **Transition** Jira issues across **workflow statuses** - **Automate branch creation** as part of the **Jira-driven workflow** - **Commit and push** changes from the **local Git repository** - **Create and merge** GitHub **pull requests** - **MCP resources** providing **workflow guidance** and **current issue context** Available Tools | Tool | Description | |------|-------------| | jira_get_issue | Retrieve a Jira issue by key (e.g., KAN-1) with configurable fields | | jira_search_issues | Search Jira using JQL; paginate and filter results | | jira_get_my_issues | List issues assigned to the current user, optionally filtered by status/type... | | jira_transition_issue | Move an issue to another status with optional comment | | create_branch_for_issue | Create a new Git branch (e.g., feature/KAN-15) based on a Jira issue | | create_pull_request | Create a PR on GitHub from a branch | | git_commit_and_push | Stage all changes, commit with a message, and push to a branch | | merge_pull_request | Merge a PR using squash, merge, or rebase; optionally check CI status | Project Structure - src/ — Application source code - server/ — MCP server entry point and tool registration - config/ — Configuration loading for Jira and GitHub - providers/ — Jira/GitHub API clients and local Git operations - tools/ — MCP tool definitions and implementations - resources/ — MCP resources (workflow guidance, issue context) - prompts/ — AI-facing prompts used internally by the server to guide agent behavior - tests/ — Integration and unit tests - pyproject.toml — Project metadata and dependencies - uv.lock — Dependency lockfile Architecture Overview High-level overview of the system design and main components. See full architecture documentation: docs/architecture.md Installation & Setup Requirements - Python 3.10+ - Git (available on PATH) - Jira instance (Cloud or self-hosted) with REST API v3 access - GitHub repository with token-based API access 1. Clone the Repository 2. Create & Activate a Virtual Environment Using uv (recommended) Or with python 3. Install Dependencies Using uv (recommended): Or with pip: The project depends on: - fastmcp: MCP protocol and server utilities 4. Configure Environment Variables Create a .env file in the repository root: