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weather-mcp

deploy status

An MCP server built on AgentBack that exposes weather data from the free Open-Meteo API โ€” no API key required. Decorator-driven tools with Zod input/output schemas, served over stdio, Streamable HTTP, or a dev console from one set of DI wiring.

๐Ÿ”ญ Live demo: agentback-demo.vercel.app โ€” the AgentBack dev console (Context ยท API ยท MCP ยท Schema panels), deployed serverless on Vercel.

npm install
npm run build && npm start      # stdio MCP server (for Claude Desktop / Cursor)
npm run serve:http              # remote MCP server over HTTP at /mcp
npm test                        # in-memory MCP session, no process spawn
npm run console                 # dev web UI at http://localhost:3000/console

Architecture

Five layers, dependencies flowing strictly downward (Transports โ†’ Composition โ†’ Adapter โ†’ Domain โ†’ Contracts). Three transports share one DI wiring.

weather-mcp architecture

See docs/architecture.md for the layer-by-layer breakdown and runtime flow (with an editable Mermaid source). The diagram is also available as an interactive, exportable page โ€” docs/architecture-diagram.html.

Related MCP server: MCP Weather Server

Transports

The same tools and DI wiring (src/wiring.ts) are served three ways:

Entry

Command

Transport

Use

src/main.ts

npm start

stdio

Local โ€” wire into Claude Desktop / Cursor.

src/serve-http.ts

npm run serve:http

Streamable HTTP at POST/GET/DELETE /mcp

Remote clients over the network.

src/console.ts

npm run console

HTTP web UI

Development inspector (see below).

HTTP transport

npm run serve:http exposes the server at http://localhost:3000/mcp (PORT=3939 npm run serve:http to change the port). Point any Streamable-HTTP MCP client at that URL.

Auth: every request needs a valid API key in the x-api-key header (or ?apiKey=). Keys come from MCP_API_KEYS (comma-separated); if unset, a dev-local-key is generated and printed to stderr so local runs still work.

MCP_API_KEYS=key1,key2 PORT=3939 npm run serve:http
# client must send:  x-api-key: key1

Rate limiting: tools/call is throttled per (caller, tool) โ€” 60/min by default, with get_forecast capped tighter at 20/min. Over the limit returns a JSON-RPC 429 with Retry-After. Both are configured in src/serve-http.ts.

For public deployment also set allowedHosts/allowedOrigins on installMcpHttp (DNS-rebinding protection), and consider a Redis store for the rate limiter so buckets are shared across instances.

Dev console

npm run console starts the AgentBack console โ€” a web UI that composes the MCP inspector (list and invoke your tools from a form), the OpenAPI/Swagger explorer, and a DI context explorer. Override the port with PORT=3737 npm run console.

The console serves over HTTP, so it runs a RestApplication (src/console.ts) that reuses the exact same tool wiring as the stdio server (src/wiring.ts). It's a development tool โ€” the stdio entry point (src/main.ts) is what you wire into Claude Desktop / Cursor.

A hosted instance is live at agentback-demo.vercel.app. The same buildConsoleApp() runs there serverless: src/console.ts exposes it with listen: false (mounts every route, binds no port) and api/index.ts hands the Express app to Vercel. See vercel.json for the deploy config.

Tools

Tool

Purpose

geocode_location

Resolve a place name (e.g. "Tokyo") to candidate latitude/longitude.

get_current_weather

Current conditions by city name or latitude+longitude.

get_forecast

Daily forecast (1โ€“16 days) by city or latitude+longitude.

Each tool accepts temperature_unit (celsius/fahrenheit) and wind_speed_unit (kmh/ms/mph/kn). When you pass a city, it is geocoded automatically; pass coordinates directly to skip that step.

How it's wired

  • src/schemas.ts โ€” the single source of truth. Each Zod schema is simultaneously the runtime validator, the z.infer type, and the agent-visible MCP input/output schema.

  • src/keys.ts โ€” typed DI keys. WEATHER_SERVICE = BindingKey.create<WeatherService>('services.weather') ties the key to its type, so the binding and every @inject(WEATHER_SERVICE) are type-checked.

  • src/weather-service.ts โ€” WeatherService, a stateless Open-Meteo client. @injectable declares its own binding: the WEATHER_SERVICE key (ContextTags.KEY) and singleton scope โ€” it's pure I/O, so one shared instance is reused.

  • src/tools/weather.tools.ts โ€” the @mcpServer() tool class. @mcpServer is built on @injectable: it makes the class an extension of the MCP_SERVERS extension point (singleton by default). Each @tool carries its Zod schemas and delegates to the injected WeatherService.

  • src/component.ts โ€” WeatherComponent packages the static DI contributions in one manifest: MCPComponent plus both services (WeatherTools, WeatherService). A tool class is a plain service โ€” the MCP server discovers it as an MCP_SERVERS extension and resolves it through its binding, so constructor @inject is honored (no controller needed).

  • src/wiring.ts โ€” registerWeatherMcp(app, stdio) adds WeatherComponent and applies the per-entry transport config (stdio on/off). Shared by all three entry points, so they stay in lockstep.

  • src/serve-http.ts โ€” exports buildHttpApp() (builds, doesn't start) so tests can drive the api-key auth + rate-limit gate; the CLI run is guarded by isMain(import.meta).

Claude Desktop / Cursor config

{
  "mcpServers": {
    "weather-mcp": {
      "command": "node",
      "args": ["/absolute/path/to/weather-mcp/dist/main.js"]
    }
  }
}
A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

โ€“Maintainers
โ€“Response time
โ€“Release cycle
โ€“Releases (12mo)
Commit activity

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