microfarm-mcp
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AlicenseNot gradedqualityFmaintenanceEnables AI assistants to analyze farm locations, retrieve soil and weather data, access commodity market prices, and chat with an agricultural advisor for farming recommendations.MIT- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to access free, open agronomic data for field briefings, spray windows, water balance, pest pressure, and more, using only public data sources without API keys.1MIT
- AlicenseAqualityDmaintenanceAI-powered property intelligence for instant zoning analysis, buildability assessments, ADU eligibility, flood risk, and development feasibility reports for any US address.51MIT
- AlicenseAqualityBmaintenanceEnables AI coding agents to score any geographic coordinate for ecological and agricultural land suitability by analyzing satellite and climate data, returning a weighted score with per-metric breakdowns for vegetation, water, terrain, and more.1MIT
- FlicenseNot gradedqualityBmaintenanceProvides free property and parcel intelligence using official US government data APIs, county assessor records, and live listings, with tools for hazard risk checks, affordability calculations, and parcel ranking.-
- AlicenseAqualityBmaintenanceAn MCP server that lets an AI agent run satellite land due-diligence through LandBenchmark. Its analyze_parcel tool takes a lat/lon or GeoJSON geometry and returns a green / caution / walk-away verdict with cited signals — flooding, slope, wildfire, road access, and more — for any parcel.127 npmMIT
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: assessing viability, finding listings, explaining zoning codes, listing data sources, and providing background education. There is no practical overlap that would confuse an agent.
The naming is readable and uniform in style with underscores, but it mixes conventions: assess_land and find_land follow verb_noun, while zone, land_sources, and about_microfarm are noun or prepositional style. The inconsistency is noticeable but not chaotic.
Five tools is a well-scoped set for a specialized micro-farm research server. Each tool addresses a distinct part of the domain without redundancy or bloat.
The tool set covers the full user journey: learning about micro-farming, seeing available land, assessing a specific parcel, and understanding zoning implications. It also includes transparency about data sources, leaving no obvious dead ends.