New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

meteostat.observations.monthly

Get the full monthly weather history (mean/min/max temperature, precipitation, pressure, sunshine) for a Meteostat weather station — can span many decades for long-running stations. Station ID comes from meteostat.stations_nearby. Data: Meteostat (CC BY 4.0), no auth required.

SERVERApibase SOURCEapibase-mcp-client
Low RISK CLASS
Category Read
Parameters 11 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-whiteknightonhorse-apibase/meteostat.observations.monthly.md

What meteostat.observations.monthly does on Apibase

AI agents call meteostat.observations.monthly to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
station_id string Yes Meteostat weather station ID, obtained from meteostat.stations_nearby. Returns the full monthly history available for the station (may span decades).

Parameters from the server's own tool schema.

Why meteostat.observations.monthly is rated Low

Retrieves historical weather data with no side effects or modification capabilities.

From the tool's definition Get the full monthly weather history, no auth required

Questions about meteostat.observations.monthly

What does the meteostat.observations.monthly tool do? +

Get the full monthly weather history (mean/min/max temperature, precipitation, pressure, sunshine) for a Meteostat weather station — can span many decades for long-running stations. Station ID comes from meteostat.stations_nearby. Data: Meteostat (CC BY 4.0), no auth required. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.

What parameters does meteostat.observations.monthly accept? +

meteostat.observations.monthly accepts 1 parameter: station_id. Required: station_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on meteostat.observations.monthly? +

Register the Apibase MCP server in PolicyLayer and add a rule for meteostat.observations.monthly: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Apibase. Nothing to install.

What risk level is meteostat.observations.monthly? +

meteostat.observations.monthly is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit meteostat.observations.monthly? +

Yes. Add a rate_limit block to the meteostat.observations.monthly rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block meteostat.observations.monthly completely? +

Set action: deny in the PolicyLayer policy for meteostat.observations.monthly. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides meteostat.observations.monthly? +

meteostat.observations.monthly is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Apibase, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Apibase's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.