Atlassian Dc Mcp Jira

io.github.b1ff由 GitHub 帳號 b1ff 發布v0.43.1更新於 Nov 3, 2026

用於 Atlassian Jira Data Center 的 MCP 伺服器 - 搜尋、檢視和建立問題

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

MCP server for Atlassian Jira Data Center - search, view, and create issues

發布方自己的服務:Atlassian Rovo MCP Server

已驗證STDIO僅桌面效率與工作流開發者工具

概覽

Atlassian Dc Mcp Jira 的本機 MCP 服務;無需登入;STDIO。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Atlassian Dc Mcp Jira,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

[MSeeP.ai Security Assessment Badge]

Atlassian Data Center MCP

Note: This is a community-maintained project and is not affiliated with, endorsed by, or supported by Atlassian. Use at your own discretion.

This project provides a Model Context Protocol (MCP) integration for Atlassian Data Center products, including Jira, Confluence, and Bitbucket.

Quick Setup

Each package ships an interactive setup subcommand that stores your credentials in the most secure place available on your OS. Run it once per product:

bash
npx @atlassian-dc-mcp/jira setupnpx @atlassian-dc-mcp/confluence setupnpx @atlassian-dc-mcp/bitbucket setup

The setup CLI prompts for host, API base path, default page size, and API token. Before saving, it validates obvious input mistakes and performs a timed authenticated request to the selected Atlassian product, so a bad host, base path, or token is caught during setup.

CLI flags and non-interactive mode

Setup accepts flags so you can prefill values or skip prompts entirely (useful for scripted bootstrap, CI, or remote sessions). Run npx @atlassian-dc-mcp/<product> setup --help for the full list.

FlagShortDescription
--host <value>-HHost, e.g. jira.example.com
--api-base-path <value>-bAPI base path or full URL
--token <value>-tAPI token
--default-page-size <n>-sDefault page size (positive integer)
--non-interactive-nSkip prompts; fail if a required value cannot be resolved
--help-hShow usage and exit

In interactive mode, any flag you pass prefills its prompt (so e.g. --host skips the host prompt but still asks for the rest). In --non-interactive mode, setup resolves anything missing from existing configuration (process env, ~/.atlassian-dc-mcp/<product>.env, or macOS Keychain) and exits non-zero if a host (or full-URL --api-base-path) and token cannot be found. An existing token is reused when --token is omitted.

bash
# Scripted, no prompts, write everything from flagsnpx @atlassian-dc-mcp/jira setup --non-interactive \  --host jira.example.com \  --token "$JIRA_TOKEN"
# Re-validate the existing token without re-entering itnpx @atlassian-dc-mcp/jira setup --non-interactive --host jira.example.com

Credential validation behaves differently between modes: interactive mode offers retry/save-anyway prompts on failure, while --non-interactive exits with code 1 on the first validation failure so it can be used as a CI gate.

Token storage:

  • macOS — written to the login Keychain via /usr/bin/security (service atlassian-dc-mcp, account <product>-token).
  • Linux — written to ~/.atlassian-dc-mcp/<product>.env with POSIX mode 0600 (read/write for your user only; other local user accounts cannot read it).
  • Windows — written to %USERPROFILE%\.atlassian-dc-mcp\<product>.env. Node passes the mode bits but Windows ignores them, so the file inherits the ACL of your user profile directory — typically readable only by your user, SYSTEM, and Administrators.

Non-secret fields (host, API base path, default page size) are always written to the home file — ~/.atlassian-dc-mcp/<product>.env on macOS/Linux, %USERPROFILE%\.atlassian-dc-mcp\<product>.env on Windows. After a successful Keychain write, the token line is cleared from the home file so there is never a second copy in a less-secure place.

Once setup has run, the MCP servers can boot with no environment variables at all:

json
{  "mcpServers": {    "atlassian-jira-dc": { "command": "npx", "args": ["-y", "@atlassian-dc-mcp/jira"] },    "atlassian-confluence-dc": { "command": "npx", "args": ["-y", "@atlassian-dc-mcp/confluence"] },    "atlassian-bitbucket-dc": { "command": "npx", "args": ["-y", "@atlassian-dc-mcp/bitbucket"] }  }}

You can still pass credentials via environment variables or ATLASSIAN_DC_MCP_CONFIG_FILE as shown in the sections below — they take precedence over values saved by setup.

Configuration Sources & Precedence

At startup, each MCP server resolves each config key by walking sources in this order and taking the first non-empty value:

PrioritySourceReadsWritten by setup
100process.env (JIRA_*, CONFLUENCE_*, BITBUCKET_*)all keys—
80env file — ATLASSIAN_DC_MCP_CONFIG_FILE or ./.envall keys—
60home file — ~/.atlassian-dc-mcp/<product>.env on macOS/Linux, %USERPROFILE%\.atlassian-dc-mcp\<product>.env on Windows (mode 0600 on POSIX; Windows inherits the user-profile ACL)all keyshost, apiBasePath, defaultPageSize (always); token (non-darwin or keychain fallback)
40macOS Keychain — service atlassian-dc-mcp, account <product>-tokentoken onlytoken (darwin only)

Notes:

  • Process env wins over everything, so you can always override a stored credential for one session.
  • ATLASSIAN_DC_MCP_CONFIG_FILE must be an absolute path; if set and missing, the server fails fast.
  • Keychain reads are cached at init (one execFileSync per product-token), so tool calls never shell out.
  • If a higher-priority source shadows the value setup is about to save, setup prints a warning naming the env var so you can unset it.
  • Atlassian API requests time out after 30 seconds by default. Set ATLASSIAN_DC_MCP_REQUEST_TIMEOUT_MS to a positive millisecond value to override it.

Claude Desktop Configuration

Official Anthropic quick start guide

To use these MCP connectors with Claude Desktop, add the following to your Claude Desktop configuration.

Set *_HOST variables only to domain + port without protocol (e.g., your-instance.atlassian.net). The https protocol is assumed.

Alternatively, you can use *_API_BASE_PATH variables instead of *_HOST to specify the complete API base URL including protocol (e.g., https://your-instance.atlassian.net/rest). Note that the /api/latest/ part is static and added automatically in the code, so you don't need to include it in the *_API_BASE_PATH values.

You can leave only the services you need in the configuration.

macOS:

~/Library/Application Support/Claude/claude_desktop_config.json

Windows:

%APPDATA%\Claude\claude_desktop_config.json
json
{  "mcpServers": {    "atlassian-jira-dc": {      "command": "npx",      "args": ["-y", "@atlassian-dc-mcp/jira"],      "env": {        "JIRA_HOST": "your-jira-host",        "JIRA_API_TOKEN": "your-token"      }    },    "atlassian-confluence-dc": {      "command": "npx",      "args": ["-y", "@atlassian-dc-mcp/confluence"],      "env": {        "CONFLUENCE_HOST": "your-confluence-host",        "CONFLUENCE_API_TOKEN": "your-token"      }    },    "atlassian-bitbucket-dc": {      "command": "npx",      "args": ["-y", "@atlassian-dc-mcp/bitbucket"],      "env": {        "BITBUCKET_HOST": "your-bitbucket-host",        "BITBUCKET_API_TOKEN": "your-token"      }    }  }}

You can also use the alternative API base path configuration:

json
{  "mcpServers": {    "atlassian-jira-dc": {      "command": "npx",      "args": ["-y", "@atlassian-dc-mcp/jira"],      "env": {        "JIRA_API_BASE_PATH": "https://your-jira-host/rest",        "JIRA_API_TOKEN": "your-token"      }    },    "atlassian-confluence-dc": {      "command": "npx",      "args": ["-y", "@atlassian-dc-mcp/confluence"],      "env": {        "CONFLUENCE_API_BASE_PATH": "https://your-confluence-host/rest",        "CONFLUENCE_API_TOKEN": "your-token"      }    },    "atlassian-bitbucket-dc": {      "command": "npx",      "args": ["-y", "@atlassian-dc-mcp/bitbucket"],      "env": {        "BITBUCKET_API_BASE_PATH": "https://your-bitbucket-host/rest",        "BITBUCKET_API_TOKEN": "your-token"      }    }  }}

Shared External Config File

If you want multiple MCP hosts or tools on one machine to reuse the same Atlassian credentials, put the existing JIRA_*, CONFLUENCE_*, and BITBUCKET_* variables into one dotenv-style file and point each MCP server at it with ATLASSIAN_DC_MCP_CONFIG_FILE.

The path must be absolute. Direct environment variables still override values from the shared file.

Example shared file:

dotenv
JIRA_HOST=your-jira-hostJIRA_API_TOKEN=your-jira-tokenJIRA_DEFAULT_PAGE_SIZE=50
CONFLUENCE_HOST=your-confluence-hostCONFLUENCE_API_TOKEN=your-confluence-token
BITBUCKET_HOST=your-bitbucket-hostBITBUCKET_API_TOKEN=your-bitbucket-tokenBITBUCKET_DEFAULT_PAGE_SIZE=50

Claude Desktop example using one shared file:

json
{  "mcpServers": {    "atlassian-jira-dc": {      "command": "npx",      "args": ["-y", "@atlassian-dc-mcp/jira"],      "env": {        "ATLASSIAN_DC_MCP_CONFIG_FILE": "/Users/your-user/.config/atlassian-dc-mcp.env"      }    },    "atlassian-confluence-dc": {      "command": "npx",      "args": ["-y", "@atlassian-dc-mcp/confluence"],      "env": {        "ATLASSIAN_DC_MCP_CONFIG_FILE": "/Users/your-user/.config/atlassian-dc-mcp.env"      }    },    "atlassian-bitbucket-dc": {      "command": "npx",      "args": ["-y", "@atlassian-dc-mcp/bitbucket"],      "env": {        "ATLASSIAN_DC_MCP_CONFIG_FILE": "/Users/your-user/.config/atlassian-dc-mcp.env"      }    }  }}

Windows example path:

json
{  "mcpServers": {    "atlassian-jira-dc": {      "command": "npx",      "args": ["-y", "@atlassian-dc-mcp/jira"],      "env": {        "ATLASSIAN_DC_MCP_CONFIG_FILE": "C:\\\\Users\\\\your-user\\\\AppData\\\\Roaming\\\\atlassian-dc-mcp.env"      }    }  }}

Claude Code CLI Configuration

To use these MCP connectors with Claude Code, add MCP servers using the claude mcp add command.

You can add servers at the project scope (stored in .mcp.json) or user scope (-s user). Adjust the scope and included services to your needs.

bash
# Jiraclaude mcp add atlassian-jira-dc \  -e JIRA_HOST=your-jira-host \  -e JIRA_API_TOKEN=your-token \  -- npx -y @atlassian-dc-mcp/jira
# Confluenceclaude mcp add atlassian-confluence-dc \  -e CONFLUENCE_HOST=your-confluence-host \  -e CONFLUENCE_API_TOKEN=your-token \  -- npx -y @atlassian-dc-mcp/confluence
# Bitbucketclaude mcp add atlassian-bitbucket-dc \  -e BITBUCKET_HOST=your-bitbucket-host \  -e BITBUCKET_API_TOKEN=your-token \  -- npx -y @atlassian-dc-mcp/bitbucket

You can also use *_API_BASE_PATH instead of *_HOST (same as the Claude Desktop examples above):

bash
claude mcp add atlassian-jira-dc \  -e JIRA_API_BASE_PATH=https://your-jira-host/rest \  -e JIRA_API_TOKEN=your-token \  -- npx -y @atlassian-dc-mcp/jira

To add servers at user scope (available across all projects):

bash
claude mcp add -s user atlassian-jira-dc \  -e JIRA_HOST=your-jira-host \  -e JIRA_API_TOKEN=your-token \  -- npx -y @atlassian-dc-mcp/jira

To use the shared config file instead of passing credentials inline:

bash
claude mcp add atlassian-jira-dc \  -e ATLASSIAN_DC_MCP_CONFIG_FILE=/Users/your-user/.config/atlassian-dc-mcp.env \  -- npx -y @atlassian-dc-mcp/jira

Windows PowerShell example:

powershell
claude mcp add atlassian-jira-dc `  -e ATLASSIAN_DC_MCP_CONFIG_FILE=C:\Users\your-user\AppData\Roaming\atlassian-dc-mcp.env `  -- npx -y @atlassian-dc-mcp/jira

Generating API Tokens

For Data Center installations, you'll need to generate Personal Access Tokens (PAT) for each service:

Jira Data Center
  1. Log in to your Jira instance
  2. Go to Profile > Personal Access Tokens
  3. Click "Create token"
  4. Give it a meaningful name and set appropriate permissions
  5. Copy the generated token immediately (it won't be shown again)
Confluence Data Center
  1. Log in to your Confluence instance
  2. Go to Settings > Personal Access Tokens
  3. Click "Create token"
  4. Name your token and set required permissions
  5. Save and copy the token (only shown once)
Bitbucket Data Center
  1. Log in to Bitbucket
  2. Go to Manage Account > HTTP access tokens
  3. Click "Create token"
  4. Set a name and permissions
  5. Generate and copy the token immediately

Store these tokens securely and use them in your Claude Desktop configuration as shown above.

Overview

The Atlassian DC MCP allows AI assistants to interact with Atlassian products through a standardized interface. It provides tools for:

  • Jira: Search, view, and create issues
  • Confluence: Access and manage content
  • Bitbucket: Interact with repositories and code

Prerequisites

  • Node.js 18 or higher
  • npm 7 or higher (for workspaces support)
  • Atlassian Data Center instance or Cloud instance
  • API tokens for the Atlassian products you want to use

Installation

Clone the repository:

bash
git clone https://github.com/b1ff/atlassian-dc-mcp.gitcd atlassian-dc-mcp

Development

This project is structured as an npm monorepo using workspaces. The workspaces are organized in the packages/ directory, with separate packages for each Atlassian product integration.

CI uses Node.js 22 for development tooling. Builds use TypeScript 7 and check both source files and tests. Jest uses SWC to transform TypeScript tests. Development and inspector commands use tsx to run TypeScript.

Dependency versions are pinned in every package.json. The project .npmrc uses save-exact=true for future additions.

Installing Dependencies

To install all dependencies for all packages in the monorepo:

bash
npm install

This will install:

  • Root-level dependencies defined in the root package.json
  • All dependencies for each package in the workspaces

To install a dependency for a specific package:

bash
npm install <package-name> --workspace=@atlassian-dc-mcp/jira

To install a dependency at the root level:

bash
npm install <package-name> -W

Building the Project

To build all packages:

bash
npm run build

To build a specific package:

bash
npm run build --workspace=@atlassian-dc-mcp/jira

Running in Development Mode

To run a specific package in development mode:

bash
npm run dev:jira     # For Jiranpm run dev:confluence  # For Confluencenpm run dev:bitbucket   # For Bitbucket

Configuration

For production use, prefer the Quick Setup CLI above — it writes to the macOS Keychain (for tokens) and the home file for non-secret fields (~/.atlassian-dc-mcp/<product>.env on macOS/Linux, %USERPROFILE%\.atlassian-dc-mcp\<product>.env on Windows) automatically.

For local development, create a .env file in the root directory, or a shared dotenv-style file anywhere on disk and point ATLASSIAN_DC_MCP_CONFIG_FILE to it, with the following variables:

# Jira configuration - choose one of these options:JIRA_HOST=your-instance.atlassian.net# ORJIRA_API_BASE_PATH=https://your-instance.atlassian.net/rest# Note: part /api/2/search/ is added automatically, do not include itJIRA_API_TOKEN=your-api-token
# Confluence configuration - choose one of these options:CONFLUENCE_HOST=your-instance.atlassian.net# ORCONFLUENCE_API_BASE_PATH=https://your-instance.atlassian.net/confluence# Note: part /rest/api is added automatically, do not include itCONFLUENCE_API_TOKEN=your-api-token
# Bitbucket configuration - choose one of these options:BITBUCKET_HOST=your-instance.atlassian.net# ORBITBUCKET_API_BASE_PATH=https://your-instance.atlassian.net/rest# Note: part /api/latest/ is added automatically, do not include itBITBUCKET_API_TOKEN=your-api-token

Resolution order for each key is process.env → ATLASSIAN_DC_MCP_CONFIG_FILE (or ./.env) → home file (~/.atlassian-dc-mcp/<product>.env on macOS/Linux, %USERPROFILE%\.atlassian-dc-mcp\<product>.env on Windows) → macOS Keychain. See Configuration Sources & Precedence above.

License

MIT

來源:README.md,提交 8d19b65

工具

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版本歷史

6
  1. v0.43.1最新Nov 3, 2026
  2. v0.40.0Nov 1, 2026
  3. v0.38.0Oct 12, 2026
  4. v0.37.0Oct 9, 2026
  5. v0.35.0Sep 22, 2026
  6. v0.34.0Sep 16, 2026

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