What are the runtime requirements?
Node version 22.12.0 or above. A Jira Personal Access Token and Jira base URL must be provided as environment variables.
@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": "npx",
"args": [
"-y",
"@parassolanki/jira-mcp-server@latest"
],
"env": {
"JIRA_PERSONAL_ACCESS_TOKEN": "email@example.com:your_personal_jira_access_token",
"JIRA_BASE_URL": "jira_base_url"
}
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
Jira MCP Server is a Model Context Protocol server that integrates with Jira, enabling LLMs to interact with Jira projects, boards, sprints, and issues via its REST API.
Install via npx with environment variables JIRA_PERSONAL_ACCESS_TOKEN and JIRA_BASE_URL. Configure in Claude Desktop’s claude_desktop_config.json. Requires Node version 22.12.0 or above.
Node version 22.12.0 or above. A Jira Personal Access Token and Jira base URL must be provided as environment variables.
Authentication uses a Jira Personal Access Token in the format `email@example.com:your_personal_jira_access_token` passed via the `JIRA_PERSONAL_ACCESS_TOKEN` environment variable.
All data resides in your Jira instance. The server queries your Jira via the REST API and does not store any data locally.
The `maxResults` parameter for tools is capped at 100. Pagination is supported via `startAt`.
The server uses standard MCP transport (stdio) as configured in Claude Desktop’s configuration.
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 for Atlassian tools (Confluence, Jira)
Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs
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.
This MCP server provides integration with Gerrit code review system, allowing AI assistants to review code changes and their details through a simple interface.
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