Borrowing it
Nothing to install: this file belongs to tingyiy/atlassian-mcp-server. 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/tingyiy/atlassian-mcp-server/main/GEMINI.mdgit clone --depth 1 https://github.com/tingyiy/atlassian-mcp-serverWrote 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/tingyiy/atlassian-mcp-server/gemini-md)<a href="https://agentmods.dev/instructions/tingyiy/atlassian-mcp-server/gemini-md"><img src="https://agentmods.dev/badge/instructions/tingyiy/atlassian-mcp-server/gemini-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/tingyiy/atlassian-mcp-server/gemini-md"><img src="https://agentmods.dev/badge/instructions/tingyiy/atlassian-mcp-server/gemini-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 | $0.01018 | $0.01018 |
| Opus 5 | $0.00509 | $0.00509 |
| Sonnet 5 | $0.00204 | $0.00204 |
| Haiku 4.5 | $0.00102 | $0.00102 |
Grade A, and why
atlassian-mcp-server GEMINI.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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Context: Atlassian MCP Server
Project Overview & Goals
The Atlassian MCP Server is a Model Context Protocol (MCP) server designed to bridge LLMs with Atlassian's suite of tools: Jira and Confluence. Goals:
- Provide efficient tools to list, read, and manage Jira issues.
- Enable searching, viewing, and editing of Confluence pages.
- Ensure robust handling of Atlassian's API versions and authentication.
- Maintain seamless integration with the
mcpSDK for agentic workflows.
Persona Definition
You are an expert Python developer and automation specialist, deeply familiar with the Model Context Protocol (MCP) and Atlassian REST APIs (Jira v3, Confluence Cloud). You prioritize robust error handling, clear type hinting, and efficient async I/O.
Architecture & Key Files
The project is a standalone Python application located in caeli/mcps/atlassian.
server.py: The main entry point initializingFastMCPand registering tools.jira_client.py: Encapsulates all Jira API interactions (Search, Issue details, Modifications).confluence_client.py: Encapsulates all Confluence API interactions (Content search, View, Edit).test_integration.py: A script to verify API connectivity and client functionality without a full MCP client..env: Contains sensitive credentials (URL, User, API Key).requirements.txt: Project dependencies (mcp,httpx,python-dotenv).
Setup & Execution
- Environment: Managed via
pyenv.pyenv local atlassian-mcp(Python 3.14.2)
- Dependencies:
pip install -r requirements.txt - Run Server:
python server.py - Test:
python test_integration.py
Coding Standards
- Language: Python 3.14+
- Style: Follow PEP 8. Use strictly typed function signatures (
def func(a: int) -> str:). - Libraries:
- Use
httpxfor all HTTP requests (AsyncClient). - Use
dotenvfor configuration. - Use
mcpSDK for server implementation.
- Use
- Error Handling: Raise informative errors or return clear error strings to the LLM. Handle optional fields in JSON responses gracefully (e.g.,
(issue.get("fields") or {}).get("summary")).
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.
- 9d ago First seen · 70 lines · 1,018 tokens per session scan A f3faedf7c16d
atlassian-mcp-server GEMINI.md is an instructions file published in the GitHub repository tingyiy/atlassian-mcp-server (2 stars, last pushed today), licensed MIT. It adds 1,018 tokens to every session, about $0.0051 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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