What credentials are required to use Jira MCP Server?
You need a Jira base URL (e.g., `https://example.atlassian.net`), a Jira username (email), and a Jira API token.
@tbreeding
基本信息
Jira MCP Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"jira-mcp-tbreeding": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"-e",
"JIRA_BASE_URL=https://your-domain.atlassian.net",
"-e",
"JIRA_USERNAME=your-email@example.com",
"-e",
"JIRA_API_TOKEN=your-api-token",
"-e",
"DEBUG=true",
"node",
"build/index.js"
]
}
}
}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。
A collection of tools designed for interacting with Jira via the Model Context Protocol (MCP), providing core Jira functionalities and a unified, guided Issue Creation and Update Wizard.
Install by adding the server configuration to your MCP client, using the npx command with required arguments: --jira-base-url, --jira-username, and --jira-api-token. Optionally set the DEBUG and LOG_FILE_PATH environment variables. Once configured, the tools are available via the MCP protocol.
You need a Jira base URL (e.g., `https://example.atlassian.net`), a Jira username (email), and a Jira API token.
Place `DEBUG` and `LOG_FILE_PATH` in a `.env` file. Logging to a file is optional; set `LOG_FILE_PATH` to empty to disable file logging.
Run `npm test` to execute the Jest test suite, or `npm run check-codebase` to run type checking, linting, and tests together.
Launch the inspector with the required environment variables using the `-e` flag, e.g., `npx @modelcontextprotocol/inspector -e JIRA_BASE_URL=... -e JIRA_USERNAME=... -e JIRA_API_TOKEN=... node build/index.js`.
The server uses the Model Context Protocol (MCP) for communication with clients.
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.
A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow tra
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