{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_adr1en360-farmerconnect-mcp","slug":"adr1en360-farmerconnect-mcp","name":"Farmerconnect-mcp","type":"mcp","url":"https://github.com/adr1en360/FarmerConnect-MCP","page_url":"https://unfragile.ai/adr1en360-farmerconnect-mcp","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:adr1en360/farmerconnect-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_adr1en360-farmerconnect-mcp__cap_0","uri":"capability://tool.use.integration.location.based.weather.forecasting.for.fieldwork.planning","name":"location-based weather forecasting for fieldwork planning","description":"Integrates real-time weather data APIs (likely OpenWeatherMap or similar) with geographic coordinates to retrieve location-specific forecasts, temperature ranges, precipitation probability, and wind conditions. The MCP server exposes weather tools that accept latitude/longitude inputs and return structured forecast data suitable for decision-making on planting, spraying, or harvesting windows. Architecture uses standard REST API calls to weather providers with caching to minimize rate-limit consumption.","intents":["Check if weather conditions are suitable for fieldwork on a specific date at my farm location","Get a 7-day forecast to plan pesticide application windows when wind is calm","Retrieve temperature and rainfall data to inform irrigation scheduling decisions"],"best_for":["Farm operators and agronomists planning daily/weekly fieldwork","Agricultural advisors recommending optimal spray/planting windows","Precision agriculture platforms integrating weather into decision support"],"limitations":["Forecast accuracy degrades beyond 7-10 days; hyperlocal microclimates not captured","Weather API rate limits may throttle high-frequency queries across multiple farm locations","Requires active internet connection; no offline caching of historical weather patterns"],"requires":["MCP client capable of calling tool endpoints","API key for weather data provider (OpenWeatherMap, WeatherAPI, or equivalent)","Valid latitude/longitude coordinates for farm location"],"input_types":["numeric coordinates (latitude, longitude)","optional date range or forecast horizon"],"output_types":["structured JSON with temperature, precipitation, wind speed, humidity","human-readable forecast summary"],"categories":["tool-use-integration","agriculture-decision-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adr1en360-farmerconnect-mcp__cap_1","uri":"capability://tool.use.integration.place.lookup.and.geocoding.with.farm.context","name":"place lookup and geocoding with farm context","description":"Provides reverse geocoding and place name resolution to convert coordinates into human-readable farm/field names, nearby landmarks, or administrative regions. Likely uses a geocoding API (Google Maps, Nominatim, or similar) to resolve latitude/longitude to place names and vice versa. Returns structured location metadata (address, region, country) useful for logging fieldwork activities or identifying specific farm parcels in multi-location operations.","intents":["Identify which field or farm section I'm working in based on GPS coordinates","Convert a farm name or address into coordinates for weather or area calculations","Log fieldwork activities with human-readable location names instead of raw coordinates"],"best_for":["Multi-location farm operators managing several fields or properties","Precision agriculture systems logging work activities with location context","Farm management software needing to map coordinates to named fields"],"limitations":["Geocoding accuracy varies by region; rural areas may have incomplete or outdated place data","Reverse geocoding may return administrative boundaries rather than specific field names","API rate limits on geocoding services can throttle bulk location lookups"],"requires":["MCP client","Geocoding API key (Google Maps, Nominatim, or equivalent)","Valid coordinates or place name string"],"input_types":["latitude/longitude coordinates","place name or address string"],"output_types":["structured location data (address, region, country, coordinates)","human-readable place name"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adr1en360-farmerconnect-mcp__cap_2","uri":"capability://data.processing.analysis.land.area.calculation.from.coordinates.or.geometry","name":"land area calculation from coordinates or geometry","description":"Computes the area of farm parcels or fields given geographic boundaries (polygon coordinates, bounding boxes, or field perimeters). Uses geometric algorithms (likely Shoelace formula or similar) to calculate area in multiple units (hectares, acres, square meters). Accepts coordinate arrays representing field boundaries and returns precise area measurements suitable for yield calculations, input cost estimation, or regulatory reporting.","intents":["Calculate the total area of a field given its GPS boundary coordinates","Convert field area between hectares, acres, and square meters for different reporting requirements","Estimate input costs (seed, fertilizer) based on field area"],"best_for":["Farm operators managing variable-sized fields and needing precise area data","Precision agriculture systems calculating input rates based on field geometry","Agricultural consultants preparing yield or cost estimates"],"limitations":["Accuracy depends on GPS precision; low-resolution boundary data produces inaccurate area estimates","Assumes flat terrain; does not account for slope or elevation changes that affect actual plantable area","Complex field shapes with many vertices may require high-precision coordinate data"],"requires":["MCP client","Array of coordinate pairs (latitude, longitude) defining field boundary","Minimum 3 coordinates to form a valid polygon"],"input_types":["array of coordinate pairs (lat/lon)","optional target unit (hectares, acres, square meters)"],"output_types":["numeric area value","structured data with area in multiple units"],"categories":["data-processing-analysis","agriculture-decision-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adr1en360-farmerconnect-mcp__cap_3","uri":"capability://data.processing.analysis.plant.density.and.spacing.calculations","name":"plant density and spacing calculations","description":"Calculates optimal plant spacing, population density, and row configurations based on crop type, field area, and agronomic guidelines. Takes inputs like desired plants-per-hectare, row spacing, and seed rate to compute planting requirements and validate spacing against crop-specific recommendations. Likely uses a crop database or lookup table with standard density parameters for common crops (corn, soybeans, wheat, etc.).","intents":["Determine how many seeds or seedlings I need for a field based on target plant density","Calculate optimal row spacing and plant spacing for a specific crop and field size","Validate that my planned planting density matches agronomic best practices for my crop"],"best_for":["Farmers planning seed purchases and planting operations","Precision agriculture systems calculating variable-rate seeding prescriptions","Agricultural advisors recommending planting densities for yield optimization"],"limitations":["Crop database may not include specialty or regional varieties; recommendations are generic","Does not account for soil quality, water availability, or climate variations that affect optimal density","Assumes uniform field conditions; does not support variable-rate density prescriptions across field zones"],"requires":["MCP client","Crop type identifier (corn, soybean, wheat, etc.)","Field area in hectares or acres","Optional: target plant density or row spacing preference"],"input_types":["crop name or code","field area (numeric)","optional density or spacing parameters"],"output_types":["total seed/seedling requirement (numeric)","recommended spacing values (row spacing, plant spacing)","structured planting prescription"],"categories":["data-processing-analysis","agriculture-decision-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adr1en360-farmerconnect-mcp__cap_4","uri":"capability://data.processing.analysis.yield.estimation.and.forecasting","name":"yield estimation and forecasting","description":"Estimates crop yield based on field area, plant density, historical yield data, and optional environmental factors (weather, soil quality). Uses regression models or lookup tables correlating input parameters to expected yield per unit area. Returns yield estimates in standard units (bushels/acre, tons/hectare) suitable for revenue projections, harvest planning, or performance benchmarking.","intents":["Estimate expected yield for a field based on area, planting density, and crop type","Project total harvest volume to plan storage, transportation, and marketing","Compare expected yield against historical averages to identify underperforming fields"],"best_for":["Farmers planning harvest logistics and revenue projections","Precision agriculture platforms providing yield forecasts for decision support","Agricultural lenders or insurers assessing farm productivity"],"limitations":["Yield estimates are statistical averages; actual yields vary significantly based on weather, pest pressure, and management practices","Model accuracy depends on historical yield data quality; farms with limited historical records get less reliable estimates","Does not account for mid-season crop stress, disease, or pest damage that reduce final yield"],"requires":["MCP client","Crop type, field area, and plant density","Optional: historical yield data for the field or region"],"input_types":["crop type","field area (numeric)","plant density (numeric)","optional historical yield data"],"output_types":["estimated yield (numeric, in bushels/acre or tons/hectare)","confidence interval or range","structured forecast data"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adr1en360-farmerconnect-mcp__cap_5","uri":"capability://data.processing.analysis.unit.conversion.for.agricultural.measurements","name":"unit conversion for agricultural measurements","description":"Converts between common agricultural units (area: acres/hectares/square meters, weight: pounds/kilograms/tons, volume: bushels/liters, density: plants/acre or plants/hectare, yield: bushels/acre or tons/hectare). Implements a unit registry with conversion factors for standard agricultural measurements, allowing bidirectional conversion with optional precision control.","intents":["Convert field area from acres to hectares for international reporting","Convert seed rates from pounds per acre to kilograms per hectare","Convert yield estimates between bushels/acre and metric tons/hectare for different markets"],"best_for":["Farmers operating across regions with different measurement standards (US vs metric)","Agricultural platforms supporting international users with mixed unit preferences","Farm management software normalizing data from multiple sources with inconsistent units"],"limitations":["Conversion is purely mathematical; does not account for crop-specific density variations (e.g., corn vs soybean bushel weights)","Limited to standard units; specialty or regional units not supported","Precision may be lost in repeated conversions; recommend converting once and storing in standard unit"],"requires":["MCP client","Numeric value and source unit","Target unit identifier"],"input_types":["numeric value","source unit (string identifier)","target unit (string identifier)"],"output_types":["converted numeric value","optional unit metadata (symbol, full name)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adr1en360-farmerconnect-mcp__cap_6","uri":"capability://memory.knowledge.crop.information.and.agronomic.reference.lookup","name":"crop information and agronomic reference lookup","description":"Provides structured crop data including planting windows, maturity periods, water requirements, nutrient needs, pest/disease susceptibility, and yield potential for common crops. Likely uses a crop database (possibly embedded or API-backed) with agronomic parameters indexed by crop name or code. Returns reference information suitable for decision support, planning, and educational purposes.","intents":["Look up planting dates and maturity periods for a crop to plan fieldwork schedule","Check water and nutrient requirements to inform irrigation and fertilizer planning","Identify common pests and diseases for a crop to plan preventive management strategies"],"best_for":["Farmers and agronomists seeking quick agronomic reference information","Farm management systems providing crop-specific guidance to users","Agricultural education platforms teaching crop management practices"],"limitations":["Crop database covers common crops; specialty or regional varieties may not be included","Agronomic parameters are regional averages; local conditions (soil, climate) may require adjustments","Does not provide real-time pest/disease alerts; reference data is static"],"requires":["MCP client","Crop name or identifier"],"input_types":["crop name or code","optional region or climate zone for localized recommendations"],"output_types":["structured crop data (planting dates, maturity, water needs, nutrients, pests)","human-readable agronomic summary"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adr1en360-farmerconnect-mcp__cap_7","uri":"capability://data.processing.analysis.time.utilities.for.farm.scheduling.and.phenology.tracking","name":"time utilities for farm scheduling and phenology tracking","description":"Provides date/time calculations for farm scheduling, including growing degree days (GDD), days to maturity, planting window validation, and phenological stage estimation. Implements calendar utilities and optional integration with weather data to calculate accumulated heat units (GDD) for crop development tracking. Supports timezone handling for multi-location operations.","intents":["Calculate growing degree days to estimate crop maturity and plan harvest timing","Determine if today's date falls within the recommended planting window for a crop","Track crop phenological stage (V2, V4, R1, etc.) based on accumulated heat units"],"best_for":["Farmers planning harvest timing and fieldwork scheduling","Precision agriculture systems tracking crop development stages","Multi-location farm operations managing crops across different timezones"],"limitations":["GDD calculations require daily temperature data; estimates are less accurate with sparse or missing weather data","Phenological stage estimation is crop-specific and varies by variety; generic models may not match actual field observations","Timezone handling assumes standard time; does not account for daylight saving transitions in all regions"],"requires":["MCP client","Crop type and planting date","Optional: daily temperature data for GDD calculations"],"input_types":["crop type","planting date or reference date","optional temperature data (min/max daily)","optional timezone identifier"],"output_types":["days elapsed or days to maturity (numeric)","accumulated GDD (numeric)","phenological stage (string)","structured scheduling data"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adr1en360-farmerconnect-mcp__cap_8","uri":"capability://planning.reasoning.multi.step.fieldwork.planning.with.integrated.decision.support","name":"multi-step fieldwork planning with integrated decision support","description":"Chains multiple MCP tools together to support end-to-end fieldwork planning workflows: weather checks → field identification → area calculations → planting density/yield estimates → scheduling. Leverages MCP's tool-calling architecture to enable LLM agents to reason through complex planning scenarios, validate inputs across steps, and generate actionable fieldwork recommendations. Supports conversational planning where users describe goals and the agent decomposes into tool calls.","intents":["Plan a complete planting operation: check weather, identify field, calculate area, determine seed needs, schedule planting date","Evaluate field performance: compare yield estimates against historical data, identify underperforming areas, recommend management changes","Coordinate multi-field operations: prioritize fields by weather suitability, calculate total input requirements, schedule fieldwork across locations"],"best_for":["Farm operators seeking integrated planning support without switching between multiple tools","LLM-based farm management systems providing conversational planning assistance","Precision agriculture platforms automating multi-step decision workflows"],"limitations":["Planning quality depends on accuracy of underlying tools (weather, yield models); garbage-in-garbage-out if inputs are poor","Does not account for real-time constraints (equipment availability, labor, weather changes) that may override planned schedules","Conversational planning may produce suboptimal recommendations if user provides incomplete or ambiguous context"],"requires":["MCP client with tool-calling capability","All underlying tool dependencies (weather API, geocoding, crop database, etc.)","LLM with function-calling support to orchestrate tool chains"],"input_types":["natural language planning request","structured planning parameters (crop, field, dates, goals)"],"output_types":["structured fieldwork plan (sequence of actions, timing, inputs)","human-readable planning summary","decision rationale and alternatives"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"high","permissions":["MCP client capable of calling tool endpoints","API key for weather data provider (OpenWeatherMap, WeatherAPI, or equivalent)","Valid latitude/longitude coordinates for farm location","MCP client","Geocoding API key (Google Maps, Nominatim, or equivalent)","Valid coordinates or place name string","Array of coordinate pairs (latitude, longitude) defining field boundary","Minimum 3 coordinates to form a valid polygon","Crop type identifier (corn, soybean, wheat, etc.)","Field area in hectares or acres"],"failure_modes":["Forecast accuracy degrades beyond 7-10 days; hyperlocal microclimates not captured","Weather API rate limits may throttle high-frequency queries across multiple farm locations","Requires active internet connection; no offline caching of historical weather patterns","Geocoding accuracy varies by region; rural areas may have incomplete or outdated place data","Reverse geocoding may return administrative boundaries rather than specific field names","API rate limits on geocoding services can throttle bulk location lookups","Accuracy depends on GPS precision; low-resolution boundary data produces inaccurate area estimates","Assumes flat terrain; does not account for slope or elevation changes that affect actual plantable area","Complex field shapes with many vertices may require high-precision coordinate data","Crop database may not include specialty or regional varieties; recommendations are generic","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.43,"ecosystem":0.48999999999999994,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:25.062Z","last_scraped_at":"2026-05-03T15:19:48.006Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=adr1en360-farmerconnect-mcp","compare_url":"https://unfragile.ai/compare?artifact=adr1en360-farmerconnect-mcp"}},"signature":"u0aiirGv5bKaib3wrhPYc4oznoVomRmX6+q5KkjRKR5k5kJRfRRcSmePSvWBC6mjwR5IzuMr0Gw5JLVxTY3gBg==","signedAt":"2026-06-20T21:39:32.154Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/adr1en360-farmerconnect-mcp","artifact":"https://unfragile.ai/adr1en360-farmerconnect-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=adr1en360-farmerconnect-mcp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}