# Moscow Education Data AI Agent Connect > Moscow Education MCP provides direct access to the city's educational landscape. Your AI client can query data for roughly 1,300 schools, 2,000 kindergartens, and 300 universities or colleges. It also includes specialized layers for language, driving, and arts schools, alongside Wikipedia-backed university details. ## Overview - **Category:** education - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_eKfnCnwlOcsw0HgEFkevZUmxGCILzKz3reCBKJeS/ai-agent-connect - **Tags:** moscow, russia, schools, kindergartens, universities, colleges, education, openstreetmap, wikipedia, keyless ## Description You can now query the entire educational infrastructure of Moscow through your AI client. Whether you are looking for a specific gymnasium by name or trying to find a kindergarten within walking distance of a new apartment, this MCP handles the heavy lifting. It pulls from OpenStreetMap and Russian Wikipedia to give you precise coordinates, contact information, and institutional details. You can pull high-level citywide counts for schools and libraries or dive deep into specific categories like music or driving schools. It's a practical tool for anyone needing to ground their AI agent in the actual geography and institutional reality of Moscow's education system. ## Tools ### find_kindergartens Find Moscow kindergartens and pre-schools by name or specific location. It returns the name, operator, phone number, and coordinates for each facility. ### education_profile Get a citywide snapshot of Moscow's education landscape. This tool provides total counts for schools, kindergartens, universities, colleges, libraries, and extra schools. ### find_extra_schools Locate specialized institutions like language, driving, music, art, or dance schools. You can filter by a specific type or request the full list. ### find_schools Search for general-education schools, including gymnasiums and lyceums. Use name fragments or geographic coordinates to find schools near a specific address. ### find_universities Identify Moscow universities and colleges by name or district. It provides contact details and exact coordinates for each campus. ### universities_wiki Access Russian Wikipedia data for Moscow universities. It provides a list of titles or a detailed summary for a specific institution. ## Prompt Examples **Prompt:** ``` Which kindergartens are within 2 km of this address? ``` **Response:** ``` find_kindergartens with the address coordinates and km: "2" returns the mapped pre-schools with their distances. ``` **Prompt:** ``` Tell me about Moscow State University. ``` **Response:** ``` universities_wiki with detail: "true" returns the Wikipedia entry for the first listed university; find_universities with name: "МГУ" locates the campus on the map. ``` **Prompt:** ``` How many schools and kindergartens does Moscow have? ``` **Response:** ``` education_profile returns the citywide counts in one call, showing approximately 1,300 schools and 2,000 kindergartens. ``` ## Capabilities ### Geographic Filtering Your agent uses latitude, longitude, and radius to find schools or kindergartens near a specific point. ### Institutional Counting The AI client pulls total counts for different education sectors across the city. ### Specialized School Search Your agent can isolate specific types of learning centers like music or driving schools. ### Wikipedia Grounding The AI retrieves encyclopedic summaries to verify the details of specific universities. ### Contact Retrieval Your agent pulls phone numbers, websites, and operator names for educational facilities. ## Use Cases ### Neighborhood Scouting Find all kindergartens within a specific walking distance of a potential new home. ### Market Research Get a total count of all libraries and schools in a district for a demographic report. ### Higher Ed Research Locate university campuses and pull their Wikipedia summaries to check accreditation or history. ### Specialized Training Search Identify all driving or language schools in a specific area of the city. ## Benefits - Eliminates the need to manually search through map layers for specific school types. - Provides direct contact and coordinate data for thousands of institutions. - Allows for instant citywide education audits via a single tool call. - Connects map data with Wikipedia summaries for better institutional context. ## How It Works Connecting to this MCP gives your AI client immediate access to Moscow's education database. 1. Connect your MCP-compatible client to Vinkius. 2. Ask your AI agent a question about Moscow schools or universities. 3. The agent selects the appropriate tool based on your request. 4. The tool queries the OpenStreetMap and Wikipedia data layers. 5. The agent receives the coordinates, names, or counts and answers you. ## Frequently Asked Questions **How many schools are covered in this MCP?** The data includes approximately 1,300 schools and 2,000 kindergartens across Moscow. **Can I find schools by their specific name?** Yes, you can use name fragments to find specific gymnasiums, lyceums, or universities. **Does this provide contact information?** Yes, most tools return the name, operator, phone number, and website for the institutions. **How do I find schools near a specific address?** You can provide latitude, longitude, and a radius in kilometers to find schools or kindergartens in a specific area. **What kind of extra schools are available?** You can search for language, driving, music, art, and dance schools. **Do I need an API key?** No. Every source is keyless and global: OpenStreetMap (Overpass + Nominatim) and Russian Wikipedia. The MCP defines no credentials. **Do the tools cover admissions and exam scores?** No. The map gives the estate itself — locations, names, operators, phones — and the Wikipedia roll gives the encyclopaedia entries. Admissions data lives on Moscow’s own portals, which refuse connections from outside Russia. **Why are the counts bigger than the rows I get?** Yes. OSM maps most large venues as areas (stadiums, monastery enclosures, university campuses), and every list tool uses the nwr selector, so nodes, ways and relations all count. **Can I find schools near an address?** Pass lat + lon (and optionally km, 0.1–25) and the query narrows to a radius instead of the whole city. Do it before a long list — a citywide scan is capped at 200 rows.