# Moscow Air, Weather & Green Spaces AI Agent Connect > Moscow Air, Weather & Green Spaces MCP gives your AI client direct access to the city's environmental state. It pulls live air quality metrics, hourly and daily weather forecasts, historical climate data from 1940 to 2025, and a detailed inventory of Moscow's 2,000 parks and 12,000 water bodies. ## Overview - **Category:** climate - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_rSDOO9M36JF4KNz3qL4vy4Vu2anp3yrhFENnq5Cv/ai-agent-connect - **Tags:** moscow, russia, air-quality, weather, climate, parks, open-meteo, keyless ## Description You can now ask your AI client about the actual conditions in Moscow without digging through hard-to-reach municipal portals. This MCP bridges the gap between your agent and real-world environmental data by pulling from Open-Meteo and OpenStreetMap. If you're planning a run, you can check if the air is safe to breathe or find the nearest green space. If you're looking at long-term trends, you can query decades of climate history to see how January typically behaves. It covers everything from specific pollutant levels like PM2.5 and NO2 to the exact location of rivers and reservoirs. Whether you need a 16-day weather outlook or a list of nearby gardens, your agent handles the data retrieval so you can focus on your schedule. ## Tools ### air_quality_forecast Provides hourly PM2.5, PM10, and US AQI forecasts for the next 168 hours in Moscow local time. Use this to see when air quality will improve for outdoor activities. ### current_air_quality Returns live measurements for PM2.5, PM10, CO, NO2, O3, and SO2 along with the US AQI band. You can specify coordinates for a specific district or use the city center by default. ### park_inventory Lists Moscow's parks, gardens, and nature reserves by name or proximity to a location. It includes the specific type of green space and its center coordinates. ### seasonal_climate Accesses ERA5 monthly climate averages from 1940 to 2025. It provides historical data on temperature, precipitation, and snowfall for specific months. ### water_bodies Identifies rivers, ponds, and reservoirs across Moscow. You can search by name or find water bodies near a specific point. ### weather_forecast Delivers daily weather forecasts for up to 16 days. It includes temperature, wind, UV, and precipitation data in Moscow time. ## Prompt Examples **Prompt:** ``` Is the air in Moscow OK to run in right now? ``` **Response:** ``` The current air quality is reported via current_air_quality. If the US AQI is in a high-risk band, you can use air_quality_forecast to see when the air will clear. ``` **Prompt:** ``` How cold is January in Moscow, really? ``` **Response:** ``` Using seasonal_climate for January, the tool provides historical averages, minimums, and maximums based on ERA5 data from 1940 to 2025. ``` **Prompt:** ``` Find a park near Gorky Park. ``` **Response:** ``` The park_inventory tool can find green spaces near Gorky Park by using its coordinates to search for nearby gardens and reserves. ``` ## Capabilities ### Live Air Monitoring Your agent checks real-time pollutant levels and AQI bands. ### Weather Forecasting Your agent retrieves daily or hourly weather and air quality outlooks. ### Historical Climate Analysis Your agent queries decades of monthly climate normals for long-term planning. ### Green Space Discovery Your agent locates parks and nature reserves based on name or location. ### Hydrological Mapping Your agent finds rivers and water bodies throughout the city. ## Use Cases ### Daily Run Planning Check current air quality and the upcoming hourly forecast to decide if it's safe to exercise outdoors. ### Trip Preparation Use seasonal climate data to understand typical temperatures and precipitation for a specific month. ### Leisure Mapping Find a quiet park or a nearby river for a walk using proximity-based searches. ### Long-term Weather Trends Analyze ERA5 data to compare current weather patterns against historical monthly averages. ## Benefits - Bypasses restricted municipal portals by using Open-Meteo and OpenStreetMap data. - Provides historical climate context dating back to 1940. - Enables proximity-based searches for parks and water bodies. - Delivers specific pollutant concentrations in micrograms per cubic meter. ## How It Works Connecting to this MCP gives your AI client immediate access to Moscow's environmental data. 1. Connect your MCP-compatible client to Vinkius. 2. Select the Moscow Air, Weather & Green Spaces MCP. 3. Ask your agent a question about Moscow's air, weather, or parks. 4. The agent calls the necessary tool to fetch real-time or historical data. 5. Your agent delivers the specific data points directly in your chat. ## Frequently Asked Questions **Where does the air quality data come from?** The air quality data is sourced from Open-Meteo to ensure you get reliable PM2.5, PM10, and other pollutant metrics. **Can I find parks near my specific location?** Yes, the park_inventory tool allows you to filter green spaces by name or by their proximity to a specific coordinate. **How far back does the climate data go?** The seasonal_climate tool provides monthly climate normals based on ERA5 data ranging from 1940 to 2025. **Does this work with Claude or Cursor?** Yes, this MCP works with any MCP-compatible client including Claude, Cursor, and Windsurf. **Can I get a weather forecast for more than a week?** The weather_forecast tool provides daily forecasts for up to 16 days. **Do I need an API key?** No. Every source is keyless and global: OpenStreetMap (Overpass + Nominatim), Open-Meteo and Russian Wikipedia. The MCP defines no credentials. **Whose air-quality numbers are these?** Open-Meteo’s air-quality API (a CAMS/forecast blend) for the coordinate you pass. It is not the city’s own monitoring network — that portal is not openly reachable from outside Russia. **How far back can the climate data go?** The ERA5 reanalysis covers 1940 to 2025. Pass year to summarise any of them; the default is 2025, the last complete year. **Can I search parks near a point?** Pass lat + lon (and optionally km, 0.1–25) and the query narrows to a radius instead of the whole city. Use it before a long list — a citywide scan is heavy and capped at 200 rows.