What does Jira MCP Server do different from the Jira web interface?
It allows AI assistants to manage Jira issues programmatically via MCP, enabling automation and integration into conversational workflows.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"jira": {
"command": "node",
"args": [
"/path/to/jira-server/build/index.js"
],
"env": {
"JIRA_EMAIL": "",
"JIRA_API_TOKEN": "",
"JIRA_DOMAIN": ""
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol server that provides integration with Jira's REST API, allowing AI assistants to manage Jira issues programmatically. It is for users who need automated Jira issue management through AI assistants.
Install dependencies with npm install and build with npm run build. Create a .jira-config.json file with your project key, then configure the MCP client (e.g., Claude desktop) with environment variables for JIRA_EMAIL, JIRA_API_TOKEN, and JIRA_DOMAIN. The server exposes tools such as create_issue, list_issues, update_issue, get_issue, delete_issue, and add_comment.
It allows AI assistants to manage Jira issues programmatically via MCP, enabling automation and integration into conversational workflows.
A Jira account with API access and a Jira API token generated from Atlassian Account Settings.
You set environment variables JIRA_EMAIL, JIRA_API_TOKEN, and JIRA_DOMAIN in the MCP client config, and place a `.jira-config.json` with your project key in the working directory.
Yes — error handling covers invalid project keys, missing configuration, invalid issue types, API authentication errors, and invalid status transitions.
Tasks, Epics, and Subtasks.
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
MCP server for Atlassian tools (Confluence, Jira)
Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).
MCP server that enables AI assistants to interact with Linear project management system through natural language, allowing users to retrieve, create, and update issues, projects, and teams.
评论