Construction Maps MCP Server

An MCP server for pre-project land analysis: Rosreestr boundaries, Yandex geocoding and maps, infrastructure and geometry

  • 4 ★ on the repository
  • Last commit
MCP server

Extended access

Why this level

  • Consumes a metered Yandex Maps API quota under heavy use
  • Uses an unofficial Rosreestr API, so accuracy and availability are not guaranteed
All reasons and checks
Russian stack

alexgrebeshok-coder/construction-maps-mcp

Install

Manual install

python3.10 -m pip install -e .
pip install -r requirements.txt

Installation requires Python 3.10 or newer.

Access and checks

How we review

Extended accessThe tool runs code or makes network calls and only reads external data.

  • Consumes a metered Yandex Maps API quota under heavy use
  • Uses an unofficial Rosreestr API, so accuracy and availability are not guaranteed

This is third-party code. Review the repository files before installing.

What it does

The server provides 16 tools for land-plot analysis in construction, combining Rosreestr data through the unofficial NSPD API with Yandex Maps. The cadastre block returns a plot's boundaries in GeoJSON, its area, address and category, and address search. Geocoding converts an address to coordinates and back, with validation. The infrastructure block finds nearby objects such as schools and hospitals within a radius, calculates distances to suppliers, and fetches a satellite image of the plot. Geometry tools compute a polygon's area, check plot intersections, measure distances and build a buffer. Visualization tools render a static map with markers and export data to GeoJSON and JSON. Data is cached in two layers, in-memory and SQLite, with a different lifetime per data type, and both upstream sources are rate-limited.

Who it is for. For developers, architects and land specialists who need a quick pre-project analysis of a plot.

Good fit when

  • You need to quickly get a plot's boundaries, area and category by cadastral number
  • You need to find nearby infrastructure and estimate logistics to suppliers
  • You need to check whether neighboring plot boundaries overlap

Not a fit when

  • You need official, legally binding Rosreestr data: access goes through the unofficial rosreestr2coord library, not the agency's own API
  • You have no Yandex Maps API key: geocoding and maps do not work without one

Example request

Analyze plot 77:07:0001002:1002: show its boundaries and area, find schools and hospitals within two kilometers, and get a satellite image

MCP

Transport
stdio
Authentication
API key

Environment variables

YANDEX_MAPS_API_KEY required, secret
Yandex Maps API key for geocoding and maps
CACHE_DIR
Cache directory, defaults to ~/.construction_maps_mcp
YANDEX_RATE_LIMIT_RPM
Yandex Maps requests-per-minute limit, defaults to 15
ROSREESTR_RATE_LIMIT_RPM
Rosreestr requests-per-minute limit, defaults to 30

Limitations

Rosreestr data access goes through the unofficial rosreestr2coord library rather than the agency's own API, which the README states plainly. A personal Yandex Maps API key is required; the free tier is limited to roughly 25,000 requests per day. Python 3.10 or newer is required, since the MCP SDK does not work on 3.9. The repository metadata does not declare a license explicitly, though the README states MIT.

How to disable. Remove the server from ~/.claude/mcp-servers.json and clear the cache at ~/.construction_maps_mcp if needed.

FAQ

Is the Rosreestr data official?

No, the README states plainly that access goes through the unofficial rosreestr2coord library, not the agency's own API.

How many free Yandex Maps API requests are there?

Per the README the free tier gives roughly 25,000 requests a day, and the server itself rate-limits to 15 requests per minute.

Discussion

No questions or reviews yet.

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README in short

The Russian README describes the server as an integration of Rosreestr (NSPD) data and Yandex Maps for pre-project plot analysis. It gives a table of 16 tools across five blocks: cadastre, geocoding, infrastructure, geometry, visualization. It covers the Python 3.10 requirement, install steps and .env configuration, Claude Code integration, example requests for pre-project analysis, logistics and intersection checks. It describes a two-layer cache architecture with different TTLs per data type and rate limiting for both upstream sources. MIT license, status listed as production ready MVP.

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