A2atlassian MCP Server

@agentic-eng

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基本信息

分类

其他

传输方式

stdio

作者

agentic-eng

提交者

Denis Tee

关于 A2atlassian MCP Server

Give AI agents access to Jira and Confluence. Save credentials once, work from anywhere.

#atlassian #jira #confluence #project-management #mcp #agent #productivity

A2atlassian 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": {
    "a2atlassian": {
      "command": "uvx",
      "args": [
        "--from",
        "a2atlassian",
        "a2atlassian-mcp",
        "--register",
        "myproject",
        "https://mysite.atlassian.net",
        "user@company.com",
        "${ATLASSIAN_TOKEN}"
      ],
      "env": {
        "ATLASSIAN_TOKEN": "<YOUR_API_TOKEN>"
      }
    }
  }
}

A2atlassian MCP Server 工具

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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。

概览

What is a2atlassian?

a2atlassian is an MCP server that gives AI agents access to Jira and Confluence. It provides pre-configured connections, read‑only defaults, and compact TSV output to save tokens. It is built for developers and teams who want to let an agent interact with Atlassian tools without Docker or complex .env files.

How to use a2atlassian?

Install a2atlassian with pip install a2atlassian or uv tool install a2atlassian. Use it as an MCP server by running uvx --from a2atlassian a2atlassian-mcp with optional --register or --scope arguments, or as a CLI with commands like a2atlassian login. Configuration is managed via .mcp.json files and environment variable references.

Key features of a2atlassian

No Docker required – install with pip or uv tool
Read‑only by default, write access opt‑in per connection
Pre‑configured connections registered via --register
Connection scoping with --scope limits agent visibility
Compact TSV output saves 30‑60% tokens for list results
Dynamic tool loading reduces context size (Claude Code)
Error enrichment with field suggestions and auto‑fixed quirks
Built‑in rate‑limiting retry with exponential backoff

Use cases of a2atlassian

An agent fetches the status of an issue and adds a comment using Jira tools
A developer searches Jira issues with JQL and receives compact TSV results
A team member retrieves Confluence page content and updates page properties
An agent manages sprints: creates a sprint, adds issues, and updates its state
Multiple projects are scoped so one agent only sees its own connections

常见问题

How does a2atlassian differ from other Atlassian MCP servers?

It requires no Docker, uses pip/uv for installation, has ~35 tools loaded on demand, provides read‑only defaults, supports multi‑project scoping, and outputs compact TSV instead of JSON only.

What tools are available in a2atlassian?

There are tools for Jira (read: issues, comments, sprints, boards, worklogs; write: create, update, delete, transition, add worklog) and Confluence (read: pages, children, search; write: upsert pages, set page properties). A full list is in the README.

Is a2atlassian read‑only by default?

Yes, every connection starts read‑only. Write tools are blocked until the operator explicitly sets `--no-read-only` when saving the connection.

How are credentials stored and handled?

Connections are saved as TOML files at `~/.config/a2atlassian/connections/` with `0600` permissions. Tokens can be stored as environment variable references (`${ATLASSIAN_TOKEN}`) and are expanded at runtime. Ephemeral `--register` connections keep credentials only in memory.

What output format does a2atlassian use?

List responses (e.g., search results) use a compact TSV format (header + tab‑separated values) that saves 30‑60% tokens compared to JSON. Single entities (e.g., get issue) return standard JSON with metadata.

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