{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_nga9rdjkktgp","handle":"mcp-resilland","url":"https://wellknown.network/agents/mcp-resilland","links":{"self":"https://wellknown.network/agents/mcp-resilland/record.json","html":"https://wellknown.network/agents/mcp-resilland","markdown":"https://wellknown.network/agents/mcp-resilland/record.md","api":"https://wellknown.network/api/v1/agents/mcp-resilland","status":"https://wellknown.network/api/v1/agents/mcp-resilland/status","claim":"https://wellknown.network/agents/mcp-resilland/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/mcp-resilland/claim.json","badge":"https://wellknown.network/agents/mcp-resilland/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/mcp-resilland/history","tools":"https://wellknown.network/api/v1/agents/mcp-resilland/tools"},"ard":{"identifier":"urn:air::server:mcp-resilland","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"mcp-resilland","summary":"MCP server for RESILAND Intelligence — AI-powered spatial intelligence for Central Asia landscape restoration","description":"<div align=\"center\">\n\n# mcp-resilland\n\n**AI-powered spatial intelligence for landscape restoration — now in any MCP client.**\n\n*Built for the World Bank's $256M RESILAND CA+ program covering Uzbekistan,\nKazakhstan, Kyrgyzstan, Tajikistan, and Turkmenistan.*\n\n[![PyPI version](https://img.shields.io/pypi/v/mcp-resilland.svg)](https://pypi.org/project/mcp-resilland/)\n[![Python versions](https://img.shields.io/pypi/pyversions/mcp-resilland.svg)](https://pypi.org/project/mcp-resilland/)\n[![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n[![MCP compatible](https://img.shields.io/badge/MCP-1.x-green)](https://modelcontextprotocol.io/)\n\n</div>\n\n---\n\n`mcp-resilland` is a [Model Context Protocol](https://modelcontextprotocol.io/)\nserver that makes the full power of the\n[RESILAND Intelligence](https://resilland.com) platform available to Claude\nDesktop, Cursor, Continue, Windsurf, Zed, and any other MCP-capable client.\n\nAsk your AI assistant questions like:\n\n> *\"Analyze cadastral parcel 1248 in Samarqand for drought-tolerant\n> restoration, cite the Phase 4 policy documents, and generate a feasibility\n> report in Turkish.\"*\n\n…and the model will call the right sequence of tools — pulling cadastral\ngeometry, 12-month Sentinel-2 NDVI, OSM infrastructure proximity, country\nclimate indicators, curated species fit, and pgvector-backed policy RAG —\nthen synthesize the answer with Opus 4.7 on the RESILAND backend.\n\n---\n\n## Features\n\n- 🗺️  **3,563 cadastral forest parcels** (Uzbekistan pilot) + all 5 RESILAND CA+ countries\n- 🌱  **Curated species catalog** — 64 Central Asia tree/shrub species with\n      climate profile, tolerances, restoration priorities, nursery availability\n- 🛰️  **Sentinel-2 NDVI history** — 12-month median per parcel from local\n      Cloud-Optimized GeoTIFFs\n- 🌡️  **Country climate indicators** — ERA5 temperature, CHIRPS precipitation,\n      GWIS FWI fire danger, SPI-3 drought, WRI water…","publisher":{"name":"İlhan Kılıç","url":null},"homepage":"https://github.com/ilhankilic/mcp-resilland#readme","repository":"https://github.com/ilhankilic/mcp-resilland#readme","version":"0.2.1","license":null,"protocols":["mcp"],"tags":["anthropic","central-asia","claude","fao","forestry","geospatial","gis","kazakhstan","landscape-restoration","mcp","model-context-protocol","postgis","resilland","restoration","uzbekistan","world-bank"],"pricing":null,"endpoints":[{"url":"pypi:mcp-resilland","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"finance.banking","name":"Banking","confidence":0.967,"provenance":"derived"}],"categories":["finance"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; 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