Borrowing it
Nothing to install: this file belongs to xjtuwangke/mcp-qweather. 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/xjtuwangke/mcp-qweather/main/AGENTS.mdgit clone --depth 1 https://github.com/xjtuwangke/mcp-qweatherWrote 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/xjtuwangke/mcp-qweather/agents-md)<a href="https://agentmods.dev/instructions/xjtuwangke/mcp-qweather/agents-md"><img src="https://agentmods.dev/badge/instructions/xjtuwangke/mcp-qweather/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/xjtuwangke/mcp-qweather/agents-md"><img src="https://agentmods.dev/badge/instructions/xjtuwangke/mcp-qweather/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 | $0.02017 | $0.02017 |
| Opus 5 | $0.01009 | $0.01009 |
| Sonnet 5 | $0.00403 | $0.00403 |
| Haiku 4.5 | $0.00202 | $0.00202 |
Grade A, and why
mcp-qweather 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 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — MCP QWeather Server
Project Overview
A Weather MCP (Model Context Protocol) Server built with FastMCP that wraps the QWeather (和风天气) API into standardized MCP tools for AI assistants (Claude, etc.).
- Language: Python 3.13+
- Package manager: uv
- Framework: FastMCP
- License: MIT
Project Structure
.
├── apis/ # Core API client library
│ ├── __init__.py # Exports GeoAPI, WeatherAPI, MinutelyAPI
│ ├── base.py # QWeatherAPI base class, JWT auth, 17 validators
│ ├── geo.py # GeoAPI — city_lookup, poi_lookup, poi_range
│ ├── weather.py # WeatherAPI — 6 weather endpoints (now/daily/hourly/grid)
│ ├── minutely.py # MinutelyAPI — precipitation, AQI, astronomy, indices
│ └── schemas.py # Empty placeholder for Pydantic models
├── keys/
│ ├── ed25519-public.pem # Ed25519 public key (committed)
│ └── ed25519-private.pem # Private key (gitignored)
├── tests/
│ └── test_api.py # Comprehensive test suite (~61 cases)
├── server.py # MCP server entry point — 18 tools, 2 transport modes
├── config.py # pydantic-settings configuration from .env
├── test_client.py # Simple MCP client example
├── pyproject.toml # uv project config, 5 deps
├── uv.lock # Locked dependency versions
├── .dockerignore # Docker build exclusions
├── Dockerfile # Python 3.13-slim, HTTP mode
├── docker-compose.yaml # Port 28001:8000, secret mount, .env
├── docker-run.sh # 203-line bash deploy script
├── .env.example # Environment variable template
└── .gitignore # Excludes __pycache__, .venv, .env, private keys
Commands
| Command | Purpose |
|---|---|
uv sync |
Install dependencies |
uv run python server.py --stdio |
Run server in stdio mode |
uv run python server.py |
Run server in HTTP mode (0.0.0.0:8000, default for Docker) |
uv run python tests/test_api.py |
Run full test suite (~61 tests) |
./docker-run.sh --detach |
Build & run Docker container |
docker-compose up -d |
Run via Docker Compose |
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 · 168 lines · 2,017 tokens per session scan A e4f1f00ee5d0
mcp-qweather AGENTS.md is an instructions file published in the GitHub repository xjtuwangke/mcp-qweather (0 stars, last pushed 4mo ago), licensed MIT. It adds 2,017 tokens to every session, about $0.0101 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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