MCP server for RESILAND Intelligence — AI-powered spatial intelligence for Central Asia landscape restoration
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-resilland","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
<div align="center"> # mcp-resilland **AI-powered spatial intelligence for landscape restoration — now in any MCP client.** *Built for the World Bank's $256M RESILAND CA+ program covering Uzbekistan, Kazakhstan, Kyrgyzstan, Tajikistan, and Turkmenistan.* [](https://pypi.org/project/mcp-resilland/) [](https://pypi.org/project/mcp-resilland/) [](https://opensource.org/licenses/Apache-2.0) [](https://modelcontextprotocol.io/) </div> --- `mcp-resilland` is a [Model Context Protocol](https://modelcontextprotocol.io/) server that makes the full power of the [RESILAND Intelligence](https://resilland.com) platform available to Claude Desktop, Cursor, Continue, Windsurf, Zed, and any other MCP-capable client. Ask your AI assistant questions like: > *"Analyze cadastral parcel 1248 in Samarqand for drought-tolerant > restoration, cite the Phase 4 policy documents, and generate a feasibility > report in Turkish."* …and the model will call the right sequence of tools — pulling cadastral geometry, 12-month Sentinel-2 NDVI, OSM infrastructure proximity, country climate indicators, curated species fit, and pgvector-backed policy RAG — then synthesize the answer with Opus 4.7 on the RESILAND backend. --- ## Features - 🗺️ **3,563 cadastral forest parcels** (Uzbekistan pilot) + all 5 RESILAND CA+ countries - 🌱 **Curated species catalog** — 64 Central Asia tree/shrub species with climate profile, tolerances, restoration priorities, nursery availability - 🛰️ **Sentinel-2 NDVI history** — 12-month median per parcel from local Cloud-Optimized GeoTIFFs - 🌡️ **Country climate indicators** — ERA5 temperature, CHIRPS precipitation, GWIS FWI fire danger, SPI-3 drought, WRI water…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.