Is Mcp Waether safe to install?

SaferSkills independently audited Mcp Waether (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

README.md · 1 file

README.md1.1 KB · Markdown

MCP LangChain Weather Agent

A simple weather MCP server connected to a LangGraph agent. The agent calls the weather tool to fetch live weather for any city.

Setup

Install dependencies:

pip install -r requirements.txt

Create a .env file in the project root:

OPENROUTER_API_KEY=your_api_key_here

Usage

Start the MCP server (runs on http://127.0.0.1:8000):

python weatherserver.py

In a second terminal, run the agent client:

python client.py

The client connects to the weather MCP server, loads the weather tool, and asks the LLM about the weather.

Files

File	Description
`weatherserver.py`	MCP server with a `weather` tool (geocoding + Open-Meteo API)
`client.py`	LangGraph agent that uses the MCP weather tool
`requirements.txt`	Python dependencies

How it works

User asks a question like "what's the weather in Tokyo?"
The agent calls the weather MCP tool
The server geocodes the city name and fetches current weather from Open-Meteo
The agent returns the result to the user

Mcp Waether— agent skill

Is Mcp Waether safe to install?

MCP LangChain Weather Agent

Setup

Usage

Files

How it works

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