
A2atlassian
- Updated April 23, 2026
- agentic-eng/a2atlassian
a2atlassian is a MCP server that gives AI agents compact, pre-wired access to Jira and Confluence.
About
a2atlassian is a stdio MCP server from agentic-eng that connects AI coding agents to Jira and Confluence with pre-configured connections and deliberately compact responses, aimed at developers and tiny teams who live in Atlassian for tickets and docs but hate pasting issue keys and wiki clutter into every prompt. Register a2atlassian in Claude Code or Cursor during build and pm work so the agent can fetch issues, pages, and project context while you implement, write launch notes, or reconcile specs with code. Compact output is the differentiator: it trades maximal API fidelity for agent-usable summaries, which fits iterative shipping more than enterprise ETL. You still need valid Atlassian credentials and site URLs; this is not a replacement for Jira automation rules or Confluence publishing pipelines. Skip if you do not use Atlassian or need full administrative CRUD across every REST edge case.
- Jira and Confluence tools tailored for AI agents
- Pre-configured connections to reduce setup friction
- Compact output format to save context window versus raw REST dumps
- stdio PyPI package a2atlassian v0.2.0
A2atlassian by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add a2atlassian -- uvx a2atlassianAdd your badge
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| Package | a2atlassian |
|---|---|
| Transport | STDIO |
| Auth | None |
| Last updated | April 23, 2026 |
| Repository | agentic-eng/a2atlassian ↗ |
What it does
Give your coding agent compact Jira and Confluence access for tickets, specs, and status without bulky default API dumps.
Who is it for?
shippers on Atlassian Cloud who want agent-side backlog and wiki context during feature work.
Skip if: Skip if you're on Linear-only stacks, air-gapped wikis, or admins and need exhaustive mutating Jira automation via MCP.
What you get
Your agent reads and reasons over Jira and Confluence data in compact form so tickets and specs stay synced with implementation chat.
- Agent-readable Jira issue and project context
- Confluence page content in compact form for implementation
- Less context-window waste versus raw Atlassian API JSON
By the numbers
- Covers Jira and Confluence (two Atlassian products)
- PyPI identifier a2atlassian version 0.2.0
- Registry name io.github.agentic-eng/a2atlassian with stdio transport
README.md
🏢 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 a2atlassianand you're done - Pre-configured connections — define projects in
.mcp.jsonwith--register, agent works immediately - Read-only by default — write access is opt-in per connection
- Connection scoping —
--scopelimits 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
| Tool | Description |
|---|---|
login |
Save a connection — validates by calling /myself first |
logout |
Remove a saved connection |
list_connections |
List connections (no secrets exposed) |
Jira — Read
| Tool | Description |
|---|---|
jira_get_issue |
Get issue by key — full fields, status, assignee |
jira_search |
Search by JQL with pagination — compact TSV output by default |
jira_search_count |
Count-only JQL — cheap pre-check for "is this going to be huge?" |
jira_search_fields |
Discover custom-field IDs by name |
jira_get_field_options |
List allowed values for a select / multi-select field |
jira_get_comments |
Get all comments for an issue |
jira_get_worklogs |
Get all worklogs for an issue |
jira_get_transitions |
Discover available status transitions |
jira_get_link_types |
List available issue-link types |
jira_get_watchers |
List watchers for an issue |
jira_get_projects |
List projects accessible to the connection |
jira_get_project_metadata |
Fetch creation metadata (issue types, required fields) |
jira_get_user_profile |
Resolve an email/accountId to a full user profile |
jira_get_boards |
List agile boards in a project |
jira_get_board_issues |
Issues on a board (paginated) |
jira_get_sprints |
List sprints on a board |
jira_get_sprint_issues |
Issues in a sprint (paginated) |
Jira — Write (requires read-write connection)
| Tool | Description |
|---|---|
jira_create_issue |
Create a new issue |
jira_update_issue |
Update fields on an existing issue |
jira_delete_issue |
Delete an issue |
jira_transition_issue |
Move issue to a new status |
jira_add_comment |
Add comment (wiki markup, API v2) |
jira_edit_comment |
Update existing comment |
jira_add_worklog |
Log time on an issue |
jira_create_issue_link |
Link two issues |
jira_remove_issue_link |
Remove an issue link |
jira_set_watchers |
Replace the watcher set on an issue |
jira_create_sprint |
Create a sprint on a board |
jira_update_sprint |
Update sprint state / dates |
jira_add_issues_to_sprint |
Move issues into a sprint |
jira_create_version |
Create a project version |
Confluence — Read
| Tool | Description |
|---|---|
confluence_get_page |
Fetch a page by id (body storage, version, space) |
confluence_get_page_children |
List direct children of a page (paginated) |
confluence_search |
CQL search; minimal per-match rows |
Confluence — Write (requires read-write connection)
| Tool | Description |
|---|---|
confluence_upsert_pages |
Batch create-or-update with preserve-on-omit body semantics + per-page status + partial-failure shape |
confluence_set_page_properties |
Metadata-only write (page_width, emoji, labels) — physically cannot touch body or title |
Output Formats
All tools accept a format parameter:
| Format | Default for | Description |
|---|---|---|
toon |
Lists (search, comments) | TSV with header — shape once, data many. 30-60% fewer tokens than JSON |
json |
Single 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_connectionsshows project name, URL, and mode — never tokens - Ephemeral mode —
--registerkeeps 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
| Feature | a2atlassian | Rovo (official) | sooperset/mcp-atlassian |
|---|---|---|---|
| Setup | pip install |
OAuth + Docker | Docker + .env + mcp-remote |
| Tools in context | ~35 (loaded on demand) | ~72 | ~72 |
| Connection management | TOML + --register + --scope |
Per-session OAuth | .env file |
| Multi-project | Yes (scoped) | No | One .env per setup |
| Read-only default | Yes (per-connection) | No | No |
| Output format | TSV + JSON | JSON | JSON |
| Error enrichment | Field suggestions, quirk fixes | Generic errors | Generic errors |
| Quirk handling | Auto-fix (assignee, parent) | Documented workarounds | Documented workarounds |
| Rate limiting | Built-in retry | No | No |
| CLI | Yes | No | No |
| License | Apache 2.0 | Proprietary | MIT |
Roadmap
Shipped: Jira full surface (v0.3.0) · Confluence core + markdown-to-storage with full CommonMark + GFM fidelity (v0.4.0, v0.5.2) · 1Password op:// token refs (v0.5.1) · metadata-only Confluence writes + preserve-on-omit body semantics (v0.5.2).
Next: confluence_delete_page, Confluence comments + attachments, Confluence integration-test path. Backlog in TODO.md.
Setup by Environment
Local (macOS / Linux)
# Recommended
uv tool install a2atlassian
# Or with pip
pip install a2atlassian
# CLI
a2atlassian login -p myproject --url https://mysite.atlassian.net --email me@co.com --token "$TOKEN"
# Or add as MCP server (see Quick Start)
CI / Automation
uv tool install a2atlassian
# Pre-configured — no login needed
uvx --from a2atlassian a2atlassian-mcp --register ci https://mysite.atlassian.net ci-user@co.com "${CI_ATLASSIAN_TOKEN}"
Development
make bootstrap # Install deps + pnpm + git hooks
make check # Lint + test + coverage-diff + security (full gate)
make test # Tests with coverage
make lint # agent-harness + jscpd + actionlint (never modifies files)
make fix # Auto-fix + lint
make similar # Advisory: report similarly-named functions/classes
Linters: ruff + ty (via agent-harness), yamllint, jscpd (copy-paste
detection via pnpm), actionlint (GitHub Actions workflows). Pre-commit
hooks run agent-harness fix + lint on every commit. Install pnpm and
actionlint via brew install pnpm actionlint.
License
Apache 2.0
🏢 Agent-first Atlassian access since 2025.
Built by Denis Tomilin
Recommended MCP Servers
How it compares
Atlassian-focused MCP bridge with compact agent output, not a generic project-management skill pack.
FAQ
Who is a2atlassian for?
Developers and small teams using Jira and Confluence who want their coding agent to pull issues and pages without manual copy-paste.
When should I use a2atlassian?
Use it while building when you need ticket context, acceptance criteria, or Confluence specs inline with code changes.
How do I add a2atlassian to my agent?
Install the PyPI package a2atlassian, configure Atlassian credentials and site connection as required by the server, add stdio MCP config, and restart your client.