mcp-atlassian AGENTS.md

Repository instructions for developing the mcp-atlassian project, which connects AI assistants with Jira and Confluence. They describe the project layout, development workflow, testing, formatting, and design conventions.

In plain words
What is it for?
Use them when editing the repository to install dependencies, run formatting and type checks, execute tests, and follow its MCP tool-naming and code-organization rules.
Why use it?
They give coding agents a consistent process for changing this Python project and checking that changes are ready to commit.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/thienntdev/mcp-atlassian/agents-md
Clone the repo
git clone --depth 1 https://github.com/thienntdev/mcp-atlassian

Made for: Codex, OpenCode.

Per session 712 This file is loaded in full into every session.
When invoked 712 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 95% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00712 $0.00712
Opus 5 $0.00356 $0.00356
Sonnet 5 $0.00142 $0.00142
Haiku 4.5 $0.00071 $0.00071

Measured yesterday against content hash 1ef65cf79187, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-atlassian AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

95% identical to mcp-atlassian AGENTS.md — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS

Audience: LLM-driven engineering agents

This file provides guidance for autonomous coding agents working inside the MCP Atlassian repository.


Repository map

Path Purpose
src/mcp_atlassian/ Library source code (Python ≥ 3.10)
├─ jira/ Jira client, mixins, and operations
├─ confluence/ Confluence client, mixins, and operations
├─ models/ Pydantic data models for API responses
├─ servers/ FastMCP server implementations
└─ utils/ Shared utilities (auth, logging, SSL)
tests/ Pytest test suite with fixtures
scripts/ OAuth setup and testing scripts

Mandatory dev workflow

uv sync --frozen --all-extras --dev  # install dependencies
pre-commit install                    # setup hooks
pre-commit run --all-files           # Ruff + Prettier + Pyright
uv run pytest                        # run full test suite

Tests must pass and lint/typing must be clean before committing.


Core MCP patterns

Tool naming: {service}_{action} (e.g., jira_create_issue)

Architecture:

  • Mixins: Functionality split into focused mixins extending base clients
  • Models: All data structures extend ApiModel base class
  • Auth: Supports API tokens, PAT tokens, and OAuth 2.0

Development rules

  1. Package management: ONLY use uv, NEVER pip
  2. Branching: NEVER work on main, always create feature branches
  3. Type safety: All functions require type hints
  4. Testing: New features need tests, bug fixes need regression tests
  5. Commits: Use trailers for attribution, never mention tools/AI

Code conventions

  • Language: Python ≥ 3.10
  • Line length: 88 characters maximum
  • Imports: Absolute imports, sorted by ruff
  • Naming: snake_case functions, PascalCase classes
  • Docstrings: Google-style for all public APIs
  • Error handling: Specific exceptions only

Development guidelines

Read the full file on GitHub · 94 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 94 lines · 712 tokens per session scan A 1ef65cf79187

Subscribe to this mod's changes

mcp-atlassian AGENTS.md is an instructions file published in the GitHub repository thienntdev/mcp-atlassian (0 stars, last pushed 1y ago), licensed MIT. It adds 712 tokens to every session, about $0.0036 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to mcp-atlassian AGENTS.md, differing in 1 line, and is treated as a copy.

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