dtJiraMCPServer
An MCP server that bridges LLM clients with Atlassian Jira Cloud and Jira Service Management Cloud REST APIs, enabling administrative and operational tasks via natural language.
README
dtJiraMCPServer
MCP Server for Jira Cloud and JSM Cloud administration via natural language.
Overview
dtJiraMCPServer provides a Model Context Protocol (MCP) server that bridges LLM clients (such as Claude Desktop or Claude Code) with Atlassian Jira Cloud and Jira Service Management (JSM) Cloud REST APIs. The server exposes 61 tools across 12 categories, enabling an LLM to perform administrative and operational tasks across both platforms.
Features
- 61 tools across 12 feature areas
- Read-only mode - restrict to non-mutating tools via
JIRA_READ_ONLY - Self-documenting - LLMs can discover tools and read usage guides at runtime
- Robust error handling - structured errors with retry, rate limiting, and backoff
- Input validation - validates parameters before making API calls
- Pagination - consistent pagination across all list operations
- Stateless - no local state or caching; designed for containerised deployment
Tool Categories
| Category | Tools | Description |
|---|---|---|
| Meta | 2 | Tool discovery and usage guides |
| Issues | 7 | JQL search, issue CRUD, transitions |
| Service Desk | 10 | Desks, queues, customers, organisations |
| Request Types | 6 | Request type CRUD, fields, groups |
| Fields | 10 | Custom fields, contexts, screens, screen schemes |
| Workflows | 8 | Workflows, statuses, transitions |
| Knowledge Base | 1 | Article search |
| SLA | 2 | SLA metrics and detail |
| Assets | 1 | Workspace queries |
| Projects | 5 | Project CRUD operations |
| Lookup | 3 | Issue types, priorities, user search |
| Groups | 6 | Group CRUD, membership management |
See docs/tool-reference.md for the complete tool listing.
Quick Start
Docker (Recommended)
docker build -t dtjiramcpserver:latest .
docker run -i --rm \
--read-only \
-v dtjiramcp_data:/_working \
--security-opt=no-new-privileges \
--cap-drop=ALL \
-e JIRA_INSTANCE_URL=https://your-domain.atlassian.net \
-e JIRA_USER_EMAIL=user@example.com \
-e JIRA_API_TOKEN=your-api-token \
dtjiramcpserver:latest
Local Development
git clone <repo-url>
cd dtJiraMCPServer
python -m venv .venv
.venv\Scripts\activate # Windows
# source .venv/bin/activate # Linux/macOS
pip install -e ".[dev]"
export JIRA_INSTANCE_URL=https://your-domain.atlassian.net
export JIRA_USER_EMAIL=user@example.com
export JIRA_API_TOKEN=your-api-token
python -m dtjiramcpserver
See docs/installation.md for detailed setup instructions.
Environment Variables
| Variable | Purpose | Required | Default |
|---|---|---|---|
JIRA_INSTANCE_URL |
Atlassian Cloud instance URL | Yes | - |
JIRA_USER_EMAIL |
Atlassian account email | Yes | - |
JIRA_API_TOKEN |
Atlassian API token | Yes | - |
JIRA_READ_ONLY |
Restrict to read-only tools (true/1/yes) | No | false |
LOG_LEVEL |
Application log level | No | INFO |
MCP Client Configuration
Claude Desktop
{
"mcpServers": {
"jira": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"--read-only",
"-v", "dtjiramcp_data:/_working",
"--security-opt=no-new-privileges",
"--cap-drop=ALL",
"-e", "JIRA_INSTANCE_URL=https://your-domain.atlassian.net",
"-e", "JIRA_USER_EMAIL=user@example.com",
"-e", "JIRA_API_TOKEN=your-api-token",
"dtjiramcpserver:latest"
]
}
}
}
Claude Code
{
"mcpServers": {
"jira": {
"command": "python",
"args": ["-m", "dtjiramcpserver"],
"env": {
"JIRA_INSTANCE_URL": "https://your-domain.atlassian.net",
"JIRA_USER_EMAIL": "user@example.com",
"JIRA_API_TOKEN": "your-api-token"
}
}
}
}
Testing
# Unit tests
pytest tests/unit/ -v --cov=dtjiramcpserver
# Integration tests (require Jira credentials)
export JIRA_INSTANCE_URL=https://your-domain.atlassian.net
export JIRA_USER_EMAIL=user@example.com
export JIRA_API_TOKEN=your-api-token
pytest tests/integration/ -v
See tests/README.md for test suite documentation.
Documentation
- Installation Guide - Setup and configuration
- User Guide - How the LLM interacts with tools
- Tool Reference - Complete tool listing and parameters
Architecture
- Transport: stdio (MCP SDK native)
- Client layer: httpx-based async HTTP with rate limiting and retry
- Tool framework: Auto-discovery registry with structured error handling
- Application: dtPyAppFramework one-shot pattern
Requirements
- Python 3.10+
- Atlassian Cloud instance with API token access
- Docker (for containerised deployment)
Licence
MIT
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。