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A2atlassian

by agentic-engversion 0.2.0i★ –iRuns on your computer
Registry nameio.github.agentic-eng/a2atlassian

Install

Overview

Description from the maker (original English)

Jira & Confluence for AI agents. Pre-configured connections, compact output.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "a2atlassian": {
      "command": "uvx",
      "args": [
        "a2atlassian"
      ]
    }
  }
}

Run this in your terminal

claude mcp add a2atlassian -- uvx a2atlassian

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "a2atlassian": {
      "command": "uvx",
      "args": [
        "a2atlassian"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "a2atlassian": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "a2atlassian"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account agentic-eng, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1390 servers in this category
  • Published to the registry more recently than 13% of the other 1390 servers in this category
  • Basic checks equal to or better than 100% of the other 1390 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is A2atlassian safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
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Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 15 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

🏢 a2atlassian

Agent-to-Atlassian

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

Jira + Confluence · read-only by default · pre-configured connections · compact TSV output

Quick Start · MCP Tools · Security · Comparison · Setup


Agent: "What's the status of PROJ-42? Add a comment with the progress update."

↓ a2atlassian → get issue, add comment, transition to In Progress ↓ Agent: "Done — PROJ-42 updated and moved to In Progress."

Why a2atlassian?

Existing Atlassian MCP servers (Rovo, sooperset) require Docker, .env files, and mcp-remote bridges. They dump 72 tools into agent context and have known quirks that silently fail. a2atlassian fixes all of that:

  • No Docker — pip install a2atlassian and you're done
  • Pre-configured connections — define projects in .mcp.json with --register, agent works immediately
  • Read-only by default — write access is opt-in per connection
  • Connection scoping — --scope limits which projects an agent can see
  • Compact output — TSV for lists (30-60% fewer tokens), JSON for single entities
  • Dynamic tool loading — MCP clients that support deferred tools (e.g., Claude Code) load tools on demand, keeping context lean
  • Error enrichment — bad field names get suggestions, JQL typos get corrections, quirks get auto-fixed
  • Secrets stay in env — ${ATLASSIAN_TOKEN} in configs, expanded only at runtime

Scope today: full Jira surface (issues, comments, sprints, boards, worklogs, links, versions, fields, watchers, projects) and Confluence core (pages CRUD, search, metadata-only writes).

Quick Start

# Recommended — installs globally as a CLI tool

uv tool install a2atlassian

Or with pip

pip install a2atlassian

As an MCP Server (recommended)

Claude Code (with pre-configured connection):

claude mcp add -s user a2atlassian -- uvx --from a2atlassian a2atlassian-mcp \

--register myproject https://mysite.atlassian.net user@company.com '${ATLASSIAN_TOKEN}'

Claude Code (minimal — agent calls login on demand):

claude mcp add -s user a2atlassian -- uvx --from a2atlassian a2atlassian-mcp

Claude Desktop / Cursor / any MCP client (.mcp.json):

{

"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-here" } } } }

Multiple projects:

{

"args": [ "--from", "a2atlassian", "a2atlassian-mcp", "--register", "myproject", "https://mysite.atlassian.net", "user@a.com", "${TOKEN_A}", "--register", "personal", "https://personal.atlassian.net", "user@b.com", "${TOKEN_B}" ] }

Scoped connections (limit agent to specific saved projects):

{

"args": ["--from", "a2atlassian", "a2atlassian-mcp", "--scope", "myproject"] }

--register creates ephemeral in-memory connections (process lifetime, no files written). --scope filters which saved connections are visible. Both limit blast radius.

As a CLI
# Save a connection (validates by calling /myself)

a2atlassian login -c myproject \ --url https://mysite.atlassian.net \ --email user@company.com \ --token "$ATLASSIAN_TOKEN"

Same, pulling the token from 1Password via op

a2atlassian login -c myproject \ --url https://mysite.atlassian.net \ --email user@company.com \ --token "op://Personal/Atlassian/token"

Enable writes

a2atlassian login -c myproject \ --url https://mysite.atlassian.net \ --email user@company.com \ --token "$ATLASSIAN_TOKEN" \ --no-read-only

List / remove connections

a2atlassian connections a2atlassian logout -c myproject

Tokens accept three forms: literal value, ${ENV_VAR} reference, or op://vault/item/field (resolved via the 1Password CLI at runtime).

MCP Tools

Connection Management
ToolDescription
loginSave a connection — validates by calling /myself first
logoutRemove a saved connection
list_connectionsList connections (no secrets exposed)
Jira — Read
ToolDescription
jira_get_issueGet issue by key — full fields, status, assignee
jira_searchSearch by JQL with pagination — compact TSV output by default
jira_search_countCount-only JQL — cheap pre-check for "is this going to be huge?"
jira_search_fieldsDiscover custom-field IDs by name
jira_get_field_optionsList allowed values for a select / multi-select field
jira_get_commentsGet all comments for an issue
jira_get_worklogsGet all worklogs for an issue
jira_get_transitionsDiscover available status transitions
jira_get_link_typesList available issue-link types
jira_get_watchersList watchers for an issue
jira_get_projectsList projects accessible to the connection
jira_get_project_metadataFetch creation metadata (issue types, required fields)
jira_get_user_profileResolve an email/accountId to a full user profile
jira_get_boardsList agile boards in a project
jira_get_board_issuesIssues on a board (paginated)
jira_get_sprintsList sprints on a board
jira_get_sprint_issuesIssues in a sprint (paginated)
Jira — Write (requires read-write connection)
ToolDescription
jira_create_issueCreate a new issue
jira_update_issueUpdate fields on an existing issue
jira_delete_issueDelete an issue
jira_transition_issueMove issue to a new status
jira_add_commentAdd comment (wiki markup, API v2)
jira_edit_commentUpdate existing comment
jira_add_worklogLog time on an issue
jira_create_issue_linkLink two issues
jira_remove_issue_linkRemove an issue link
jira_set_watchersReplace the watcher set on an issue
jira_create_sprintCreate a sprint on a board
jira_update_sprintUpdate sprint state / dates
jira_add_issues_to_sprintMove issues into a sprint
jira_create_versionCreate a project version
Confluence — Read
ToolDescription
confluence_get_pageFetch a page by id (body storage, version, space)
confluence_get_page_childrenList direct children of a page (paginated)
confluence_searchCQL search; minimal per-match rows
Confluence — Write (requires read-write connection)
ToolDescription
confluence_upsert_pagesBatch create-or-update with preserve-on-omit body semantics + per-page status + partial-failure shape
confluence_set_page_propertiesMetadata-only write (page_width, emoji, labels) — physically cannot touch body or title
Output Formats

All tools accept a format parameter:

FormatDefault forDescription
toonLists (search, comments)TSV with header — shape once, data many. 30-60% fewer tokens than JSON
jsonSingle entities (get_issue)Standard JSON with metadata envelope

List responses use a compact TSV-style format (header row + tab-separated values) inspired by TOON. This is the same approach a2db uses — column names appear once, then just values. For a 50-issue search result, this typically saves 40-60% of tokens compared to JSON.

TSV example (search results):

# search (23 results, 50ms, truncated: False)

key summary assignee status PROJ-142 Fix auth timeout Alice Smith In Progress PROJ-141 Add search filters Bob Jones To Do

JSON example (single issue):

{

"data": {"key": "PROJ-142", "fields": {"summary": "Fix auth timeout", ...}}, "count": 1, "truncated": false, "time_ms": 85 }

Error Enrichment

When something fails, a2atlassian tells the agent what to do:

Field 'asignee' does not exist

Did you mean: assignee?

Connection 'myproject' is read-only. Run: a2atlassian login -p myproject --read-only false

Quirks handled automatically:

  • Assignee requires display name (not 712020: account IDs) — auto-detected with hint
  • Parent field must be plain string — {"key": "PROJ-14"} normalized to "PROJ-14" silently
  • Issue type conversion not supported via API — clear Jira UI instructions provided

Security

Read-Only by Default

Every connection starts read-only. Write tools check the connection flag before executing:

Connection 'myproject' is read-only.

Re-run 'a2atlassian login -p myproject --read-only false' to enable writes.

The human operator controls write access — not the agent.

Credential Storage

Connections saved via login go to ~/.config/a2atlassian/connections/ as TOML files:

  • File permissions: 0600 (owner read/write only)
  • `${ATLASSIAN_TOKEN}` syntax — env var references stored literally, expanded at runtime
  • No secrets in output — list_connections shows project name, URL, and mode — never tokens
  • Ephemeral mode — --register keeps credentials in memory only, never written to disk
Connection Scoping

Use --scope to limit which saved connections a specific MCP instance can access:

# Project config — only myproject visible, even if other connections are saved

uvx --from a2atlassian a2atlassian-mcp --scope myproject

Project-level MCP configs (.claude/mcp.json) override global configs — each repo sees only its own connections.

Rate Limiting

Built-in retry with exponential backoff for Atlassian's rate limits (429) and transient server errors (500). Two retries at 1s and 3s intervals before surfacing the error.

Comparison

Featurea2atlassianRovo (official)sooperset/mcp-atlassian
Setuppip installOAuth + DockerDocker + .env + mcp-remote
Tools in context~35 (loaded on demand)~72~72
Connection managementTOML + --register + --scopePer-session OAuth.env file
Multi-projectYes (scoped)NoOne .env per setup
Read-only defaultYes (per-connection)NoNo
Output formatTSV + JSONJSONJSON
Error enrichmentField suggestions, quirk fixesGeneric errorsGeneric errors
Quirk handlingAuto-fix (assignee, parent)Documented workaroundsDocumented workarounds
Rate limitingBuilt-in retryNoNo
CLIYesNoNo
LicenseApache 2.0ProprietaryMIT

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