Jira MCP Server

Jira MCP Server

Enables AI assistants to interact with Jira Cloud by managing issues, comments, custom fields, and sprint tasks through a standardized interface. Supports issue creation, updates, team activity tracking, and progress reporting.

Category
访问服务器

README

Jira MCP Server

A Model Context Protocol (MCP) server for Jira integration, enabling AI assistants to interact with Jira issues, comments, and custom fields through a standardized interface.

Features

This MCP server provides the following tools:

Tool Description
get_my_issues Get all issues currently assigned to you
get_issue_details Get full details of a specific Jira issue
add_comment Add a comment to a specified Jira issue
get_my_work_summary Get a summary of issues you've worked on within a date range
get_team_activity Get recent issue updates from configured team members
get_project_components Get all available components for a Jira project
update_issue_field Update supported custom fields on a Jira issue
update_progress Update the Progress Update field with template-aware behavior
create_issue Create a new issue in Jira with support for custom fields
get_sprint_tasks Retrieve sprint tasks for the current week or next week

Prerequisites

  • Node.js: v18.0.0 or higher
  • npm: v8.0.0 or higher
  • Jira Cloud Account: With API access enabled
  • Jira API Token: Generated from your Atlassian account

Installation

  1. Clone the repository:

    git clone <repository-url>
    cd jira-mcp
    
  2. Install dependencies:

    npm install
    
  3. Build the project:

    npm run build
    

Configuration

Environment Variables

The server requires the following environment variables:

Variable Description Example
JIRA_BASE_URL Your Jira instance base URL https://your-org.atlassian.net
JIRA_USER_EMAIL Your Jira account email user@example.com
JIRA_API_TOKEN Jira API token (Generate here) ATATT3xFfGF0...
JIRA_CURRENT_USER (Optional) Override current user for queries currentuser()
JIRA_TEAM_MEMBERS (Optional) Comma-separated list of team member emails user1@example.com,user2@example.com

Usage

Starting the Server

# Production
npm start

# Development (with hot reload)
npm run dev

MCP Client Configuration

Add the server to your MCP client configuration:

{
  "mcpServers": {
    "jira": {
      "command": "node",
      "args": ["/path/to/jira-mcp/dist/index.js"],
      "env": {
        "JIRA_BASE_URL": "https://your-org.atlassian.net",
        "JIRA_USER_EMAIL": "your-email@example.com",
        "JIRA_API_TOKEN": "your-api-token",
        "JIRA_TEAM_MEMBERS": "teammate1@example.com,teammate2@example.com"
      }
    }
  }
}

Supported Custom Fields

The following custom fields can be updated using update_issue_field:

Field Name Field ID Type Description
Decision Needed customfield_15111 Rich text (ADF) Flag if a decision is required
Progress Update customfield_15112 Rich text (ADF) Weekly progress status
Decision Maker(s) customfield_15113 User picker Person responsible for decisions
Risks/Blockers customfield_15115 Rich text (ADF) Current risks or blockers
Completion Percentage customfield_15116 Number Progress percentage (0-100)
Health Status customfield_15117 Select Project health (On Track, At Risk, etc.)

API Reference

get_my_issues

Returns all unresolved issues assigned to the current user.

Parameters: None

Returns: Array of issues with key, summary, status, priority, updated


get_issue_details

Get full details of a specific issue.

Parameters:

  • issueKey (string, required): The issue key (e.g., "PROJ-123")

Returns: Issue object with key, summary, description, status, priority, assignee, reporter, created, updated, comments


add_comment

Add a comment to an issue.

Parameters:

  • issueKey (string, required): The issue key
  • commentBody (string, required): The comment text

Returns: { success: boolean, commentId: string, created: string }


get_my_work_summary

Get issues you've worked on within a date range.

Parameters:

  • startDate (string, required): Start date in YYYY-MM-DD format
  • endDate (string, required): End date in YYYY-MM-DD format

Returns: Array of issues with activity type


get_team_activity

Get recent updates from team members.

Parameters:

  • timeframeDays (number, optional): Days to look back (default: 7)

Returns: Array of activity items with issueKey, teamMember, activityType, timestamp, summary


update_issue_field

Update a custom field on an issue.

Parameters:

  • issueKey (string, required): The issue key
  • fieldNameOrId (string, required): Field name or ID
  • value (string | number | object, required): Value to set

Returns: { success: boolean, fieldId: string, fieldName: string }


update_progress

Update the Progress Update field with template awareness.

Parameters:

  • issueKey (string, required): The issue key
  • refreshDate (boolean, optional): Update date only, preserve content
  • weeklyUpdate (string, optional): Weekly update text
  • delivered (string, optional): What was delivered
  • whatsNext (string, optional): Upcoming work

Returns: { success: boolean, updatedSections: string[], parsedExisting: object }

The Progress Update field uses a structured template:

  • ℹ️ Update for week of [date]: - Weekly status
  • What we've delivered so far: - Accomplishments
  • What's next: - Upcoming work

get_project_components

Get all available components for a Jira project.

Parameters:

  • projectKey (string, required): The project key (e.g., "TSSE")

Returns: { components: [{ id: string, name: string, description?: string }] }


create_issue

Create a new issue in Jira with support for standard and custom fields.

Parameters:

  • projectKey (string, required): The project key (e.g., "TSSE")
  • issueType (string, required): The issue type (e.g., "Epic", "Story", "Task", "Bug")
  • summary (string, required): Issue summary/title
  • description (string, optional): Issue description (plain text)
  • assignee (string, optional): Assignee accountId or "currentuser()" for current user
  • priority (string, optional): Priority name (e.g., "High", "Medium", "Low")
  • labels (string[], optional): Array of labels to apply
  • duedate (string, optional): Due date in YYYY-MM-DD format
  • components (string[], optional): Array of component names
  • healthStatus (string, optional): Health Status value (e.g., "On Track", "At Risk", "Off Track")
  • completionPercentage (number, optional): Completion percentage (0-100)
  • decisionNeeded (string, optional): Decision Needed field content
  • risksBlockers (string, optional): Risks/Blockers field content
  • progressUpdate (object, optional): Progress Update with weeklyUpdate, delivered, whatsNext
  • customFields (object, optional): Additional custom fields as key-value pairs

Returns: { success: boolean, key: string, id: string, self: string }


get_sprint_tasks

Retrieve sprint tasks for the current week or next week. Sprint tasks are tagged with labels in the format MonDD-DD (e.g., Dec15-19 for December 15-19).

Parameters:

  • week (enum, required): Which week to retrieve - "this_week" or "next_week"
  • scope (enum, required): Scope of tasks - "my_tasks" for current user only, "team_tasks" for all team tasks

Returns:

{
  "sprintLabel": "Dec15-19",
  "weekRange": { "monday": "2024-12-15", "friday": "2024-12-19" },
  "tasks": [{ "key": "PROJ-123", "summary": "...", "status": "...", "priority": "...", "assignee": "...", "updated": "..." }]
}

Development

Building

npm run build

Project Structure

jira-mcp/
├── src/
│   ├── index.ts        # MCP server entry point and tool definitions
│   └── jira-client.ts  # Jira API client wrapper
├── dist/               # Compiled JavaScript output
├── package.json
├── tsconfig.json
└── README.md

Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选