A2atlassian
@agentic-eng
About A2atlassian
Give AI agents access to Jira and Confluence. Save credentials once, work from anywhere.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"a2atlassian": {
"command": "uvx",
"args": [
"--from",
"a2atlassian",
"a2atlassian-mcp",
"--register",
"myproject",
"https://mysite.atlassian.net",
"[email protected]",
"${ATLASSIAN_TOKEN}"
],
"env": {
"ATLASSIAN_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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
--scopelimits 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
FAQ from a2atlassian
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.
More Other MCP servers
Awesome-MCP-ZH
yzflyMCP 资源精选, MCP指南,Claude MCP,MCP Servers, MCP Clients
Codelf
unbugA search tool helps dev to solve the naming things problem.
MCP Toolbox for Databases
googleapisMCP Toolbox for Databases is an open source MCP server for databases.
🚀 Model Context Protocol (MCP) Curriculum for Beginners
microsoftThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
Comments