Jira Cloud MCP Server
MCP server for interacting with Jira Cloud instances. Enables issue management, JQL queries, project and sprint management, and batch operations via natural language interfaces.
README
Jira Cloud MCP Server
A Model Context Protocol server for interacting with Jira Cloud instances.
Install
Claude Desktop (one-click)
Download jira-cloud-mcp.mcpb and open it — Claude Desktop will prompt for your Jira credentials.
Claude Code
claude mcp add jira-cloud -e JIRA_API_TOKEN=your-token -e JIRA_EMAIL=your-email -e JIRA_HOST=https://your-team.atlassian.net -- npx -y @aaronsb/jira-cloud-mcp
Manual (any MCP client)
{
"mcpServers": {
"jira-cloud": {
"command": "npx",
"args": ["-y", "@aaronsb/jira-cloud-mcp"],
"env": {
"JIRA_API_TOKEN": "your-api-token",
"JIRA_EMAIL": "your-email",
"JIRA_HOST": "https://your-team.atlassian.net"
}
}
}
}
Credentials
Generate an API token at Atlassian Account Settings.
Tools
| Tool | Description |
|---|---|
manage_jira_issue |
Get, create, update, delete, move, transition, comment on, link, or traverse hierarchy of issues |
manage_jira_filter |
Search for issues using JQL queries, or manage saved filters |
manage_jira_project |
List projects or get project configuration and metadata |
manage_jira_board |
List boards or get board details and configuration |
manage_jira_sprint |
Manage sprints: create, start, close, and assign issues to sprints |
queue_jira_operations |
Batch multiple operations with result references ($0.key) and error strategies |
analyze_jira_issues |
Compute metrics, exact counts, and data cube analysis over issues selected by JQL |
Each tool accepts an operation parameter (except queue_jira_operations which takes an operations array, and analyze_jira_issues which takes jql + metrics). Per-tool documentation is available as MCP resources at jira://tools/{tool_name}/documentation.
See docs/tools.md for detailed tool descriptions, workspace patterns, and design principles.
MCP Resources
| Resource | Description |
|---|---|
jira://instance/summary |
Instance-level statistics |
jira://projects/distribution |
Project distribution overview |
jira://projects/{key}/overview |
Project overview with status counts |
jira://boards/{id}/overview |
Board overview with sprint info |
jira://issue-link-types |
Available issue link types |
jira://custom-fields |
Custom field catalog (auto-discovered at startup) |
jira://custom-fields/{project}/{issueType} |
Context-specific custom fields |
jira://analysis/recipes |
Analysis query patterns and compute DSL reference |
jira://tools/{name}/documentation |
Per-tool documentation |
License
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。