Jira▌
by atlassian
Integrate Jira software with AI to automate tasks, manage bugs, and streamline your development workflow efficiently.
Integrates Jira's project management capabilities with AI systems to automate tasks, track progress, and streamline development workflows.
github stars
★ 27.6K
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Software development teams tracking bugs and features
- / Project managers coordinating team workflows
- / QA teams logging and managing test issues
- / Agile teams managing sprints and backlogs
capabilities
- / Create and update Jira issues
- / Search issues by JQL queries
- / Manage project workflows
- / Track issue status and assignments
- / Add comments and attachments
- / Generate project reports
what it does
Connects to Jira to manage issues, projects, and workflows directly from your AI assistant without switching between tools.
about
Jira is an official MCP server published by atlassian that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Jira software with AI to automate tasks, manage bugs, and streamline your development workflow efficiently. It is categorized under productivity.
how to install
You can install Jira 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 supports remote connections over HTTP, so no local installation is required.
license
MIT
Jira is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the Jira MCP server?
- Jira 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?
- This profile displays 72 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★72 reviews- ★★★★★Tariq Kapoor· Dec 28, 2024
We wired Jira into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ren Chen· Dec 24, 2024
I recommend Jira for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Yuki Anderson· Dec 20, 2024
Jira is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Yusuf Patel· Dec 16, 2024
I recommend Jira for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★William Sethi· Dec 12, 2024
We wired Jira into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Diego Khanna· Dec 8, 2024
Strong directory entry: Jira surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Tariq Sharma· Nov 19, 2024
Jira reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yuki Ghosh· Nov 11, 2024
Useful MCP listing: Jira is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Hiroshi Farah· Nov 7, 2024
We evaluated Jira against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★William Patel· Nov 3, 2024
Strong directory entry: Jira surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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