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Open-Meteo Weather

PYPI · MYAI-WEATHER-MCP · SCANNED SEP 20

Current weather and hourly forecasts for any place name, via the free Open-Meteo API. No API key.

Available components

72 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency45
Schema Quality & AI Usability86
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 143 tokens (~71/item across 2 items; 2 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 2 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 2 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

How do I install the Open-Meteo Weather MCP server?

Open-Meteo Weather runs locally as a PyPI package, launched with uvx myai-weather-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · myai-weather-mcp

# add to Claude Code
claude mcp add myai-2025-openmeteo-mcp -- uvx myai-weather-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "myai-2025-openmeteo-mcp": {
      "command": "uvx",
      "args": [
        "myai-weather-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "myai-2025-openmeteo-mcp": {
      "command": "uvx",
      "args": [
        "myai-weather-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add myai-2025-openmeteo-mcp -- uvx myai-weather-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "myai-2025-openmeteo-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "myai-weather-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add myai-2025-openmeteo-mcp --command uvx --arg myai-weather-mcp
# ~/.hermes/config.yaml
mcp_servers:
  myai-2025-openmeteo-mcp:
    command: "uvx"
    args: ["myai-weather-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "myai-2025-openmeteo-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "myai-weather-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add myai-2025-openmeteo-mcp -t stdio -c uvx -a myai-weather-mcp
// mcp.json
{
  "mcpServers": {
    "myai-2025-openmeteo-mcp": {
      "command": "uvx",
      "args": [
        "myai-weather-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 15 Sept 26 +15
    • Malware scan: unverified → pass security
  • 14 Sept 26 57

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed pypi/myai-weather-mcp@0.1.2

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted setuptools.build_meta

Background: Why install scripts are a supply-chain risk →

Dependencies 0 packages
Packages resolved 0
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 2 exposed · ~143 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_hourly_forecast ~83

Get the hour-by-hour weather forecast for a location given its name. Returns temperature (Fahrenheit), precipitation probability, and conditions for each upcoming hour.

NameTypeReqDescription
hoursintegerHow many hours ahead to forecast (1-48). Default 12.
locationstringyesPlace name, e.g. 'Tokyo' or 'Austin, Texas'.

No output schema declared.

No examples provided.

get_weather ~60

Get the current weather for a location given its name (city, town, or landmark). Returns conditions, temperature in Fahrenheit, and wind speed in mph.

NameTypeReqDescription
locationstringyesPlace name, e.g. 'Seattle' or 'Paris, France'.

No output schema declared.

No examples provided.

Common questions

What is the Open-Meteo Weather MCP server?

Open-Meteo Weather is an MCP server listed in the public MCP registry as io.github.myAI-2025/openmeteo-mcp. Current weather and hourly forecasts for any place name, via the free Open-Meteo API. No API key. This page covers its PyPI package (myai-weather-mcp).

Is the Open-Meteo Weather MCP server safe to use?

Open-Meteo Weather scores 72 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Open-Meteo Weather MCP server expose?

Open-Meteo Weather exposes 2 tools: get_weather, get_hourly_forecast. Their descriptions and schemas cost roughly 143 tokens of context every time the server is loaded.

Is the Open-Meteo Weather MCP server still maintained?

Open-Meteo Weather is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the Open-Meteo Weather MCP server under?

Open-Meteo Weather declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.