Jira MCP Server

@nguyenvanduocit

代码仓库

基本信息

分类

版本控制

许可证

MIT

传输方式

stdio

作者

nguyenvanduocit

关于 Jira MCP Server

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

#jira #api #automation

Jira MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "script": {
      "command": "/path-to/script-mcp",
      "args": [
        "-env",
        "path-to-env-file"
      ]
    }
  }
}

Jira MCP Server 工具

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。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Jira MCP?

Jira MCP is an opinionated Model Context Protocol server that connects AI assistants to Atlassian Jira. Built from real‑world development experience, it provides sophisticated tools for issue management, sprint tracking, development information retrieval, and workflow automation. It is designed for engineers and QC teams who need to interact with Jira through natural language in environments like Cursor or Claude Desktop.

How to use Jira MCP?

Install via Docker (ghcr.io/nguyenvanduocit/jira-mcp:latest) or as a local binary. Set three environment variables: ATLASSIAN_HOST, ATLASSIAN_EMAIL, and ATLASSIAN_TOKEN. Add the server to your MCP client’s configuration (STDIO mode). Optionally use the bundled jira-cli for terminal‑only tasks. To expose only a subset of tools, set the ENABLED_TOOLS environment variable.

Key features of Jira MCP

Issue management: create, update, get, search, and child issues.
Sprint management: list, get, and search active sprints.
Development information: branches, PRs, commits linked to issues.
Issue relationships: retrieve and link blocking/related issues.
Version management: get and list project versions.
Auditable history: complete issue change history and worklogs.

Use cases of Jira MCP

Retrieve all pull requests linked to a Jira issue during code review.
Transition issues through workflows automatically with AI assistance.
Manage sprint backlogs and active sprints from a chat interface.
Add worklogs and comments to issues without leaving the IDE.
Enforce read‑only access for AI agents by limiting exposed tools.

常见问题

How do I authenticate with Jira?

You need an Atlassian API token. Create one at `https://id.atlassian.com/manage-profile/security/api-tokens`. Provide it along with your instance host and email via the `ATLASSIAN_HOST`, `ATLASSIAN_EMAIL`, and `ATLASSIAN_TOKEN` environment variables.

Can I expose only a subset of tools?

Yes. Set the `ENABLED_TOOLS` environment variable to a comma‑separated list of tool names. Unset or empty means all tools are exposed. Unknown names are ignored and logged.

Does Jira MCP work without an MCP client?

Yes. The package includes a standalone CLI binary (`jira-cli`) that can be used directly in the terminal. Install it with `just install-cli` or `go install`.

What development information can I retrieve?

You can retrieve branches, pull requests, and commits linked to an issue via development tool integrations such as GitHub, GitLab, and Bitbucket.

Can I run Jira MCP in HTTP mode?

Yes. Run `jira-mcp -env .env -http_port 3000` for debugging. Configure your MCP client to use `http://localhost:3000/mcp` as the URL.

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