Borrowing it
Nothing to install: this file belongs to MaximSantalov/ai_agent_mcp_jira. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MaximSantalov/ai_agent_mcp_jira/develop/AGENTS.mdgit clone --depth 1 https://github.com/MaximSantalov/ai_agent_mcp_jiraWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/maximsantalov/ai_agent_mcp_jira/agents-md)<a href="https://agentmods.dev/instructions/maximsantalov/ai_agent_mcp_jira/agents-md"><img src="https://agentmods.dev/badge/instructions/maximsantalov/ai_agent_mcp_jira/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/maximsantalov/ai_agent_mcp_jira/agents-md"><img src="https://agentmods.dev/badge/instructions/maximsantalov/ai_agent_mcp_jira/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01096 | $0.01096 |
| Opus 5.5 | $0.00438 | $0.00438 |
| Sonnet 5.5 | $0.00219 | $0.00219 |
| Haiku 4.5 | $0.00110 | $0.00110 |
Grade A, and why
ai_agent_mcp_jira 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 1mo ago.
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.
This is a copy
100% identical to mcp-atlassian AGENTS.md — 6 lines 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Atlassian
Audience: LLM-driven engineering agents
Repository map
| Path | Purpose |
|---|---|
src/mcp_atlassian/ |
Library source (Python ≥ 3.10) |
├─ jira/ |
Jira client + 21 mixins (issues, search, SLA, metrics, …) |
├─ confluence/ |
Confluence client + 8 mixins (pages, search, analytics, …) |
├─ models/ |
Pydantic v2 data models (ApiModel base) |
├─ servers/ |
FastMCP server instances (jira_mcp, confluence_mcp) |
├─ preprocessing/ |
Content conversion (ADF/Storage → Markdown) |
└─ utils/ |
Shared utilities (auth, logging, SSL, decorators) |
tests/ |
Pytest suite — unit, integration, real-API validation |
scripts/ |
OAuth setup and testing scripts |
Architecture
- Mixin composition:
JiraFetchercomposes 21 mixins,ConfluenceFetchercomposes 8. Client inheritance is transitive through mixins. - FastMCP servers:
servers/main.py→ lifespan → dependency injection viaget_jira_fetcher(ctx)/get_confluence_fetcher(ctx). - Tool naming:
{service}_{action}_{target}(e.g.,jira_create_issue,confluence_get_page). - Config: Environment-based
from_env()factory onJiraConfig/ConfluenceConfigdataclasses. - Auth: Basic (Cloud + Server/DC), PAT (Server/DC), OAuth 2.0 (Cloud + Server/DC) — with multi-tenant header support.
- Models: All extend
ApiModel→from_api_response()+to_simplified_dict().
Dev workflow
uv sync --frozen --all-extras --dev # install dependencies
pre-commit install # setup hooks
pre-commit run --all-files # Ruff + mypy
uv run pytest -xvs # full test suite
uv run pytest tests/unit/ -xvs # unit tests only
uv run pytest tests/integration/ # integration tests
uv run pytest --cov=src/mcp_atlassian --cov-report=term-missing # coverage
Tests must pass and lint/typing must be clean before committing.
Rules
- Package management: ONLY use
uv, NEVERpip - Branching: NEVER work on
main, always create feature branches - Type safety: All functions require type hints
- Testing: New features need tests, bug fixes need regression tests
- Commits: Use trailers for attribution, never mention tools/AI
- Commit types:
feat,fix,docs,refactor,test,chore,perf,ci— scopes:jira,confluence,server,auth,docker,docs - File hygiene: Prefer editing existing files over creating new ones
- Tool docs: After changing tool signatures or registrations, run
uv run python scripts/generate_tool_docs.pyand commit the diff; CI (Docs / check) enforces this
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.
- 1mo ago First seen · 98 lines · 1,096 tokens per session scan A aa9ab6cc3cb4
ai_agent_mcp_jira AGENTS.md is an instructions file published in the GitHub repository MaximSantalov/ai_agent_mcp_jira (0 stars, last pushed 17d ago), licensed MIT. It adds 1,096 tokens to every session, about $0.0044 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to mcp-atlassian AGENTS.md, differing in 6 lines, and is treated as a copy.
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