GrainSure MCP Server for Windsurf 12 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect GrainSure through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius Desktop App
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{
"mcpServers": {
"grainsure": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About GrainSure MCP Server
Connect your GrainSure Silo Monitoring API to any AI agent and take full control of real-time grain fill level tracking, usage rate analysis, predictive days-to-empty forecasting, and automated delivery management through natural conversation.
Windsurf's Cascade agent chains multiple GrainSure tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 12 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Silo Management — List and manage all grain silos with current fill levels, grain types, and monitoring status
- Real-Time Fill Levels — Get current grain fill percentage and remaining tonnes for each silo
- Usage Tracking — Monitor historical grain consumption rates and identify usage trends
- Days to Empty — Get AI-predicted days until each silo runs empty based on current usage patterns
- Fill Level History — Track how fill levels have changed over time for delivery effectiveness analysis
- Low Stock Alerts — Receive automated alerts when silo levels drop below configured thresholds
- Delivery Orders — Create and manage grain delivery orders for timely inventory replenishment
- Order History — Track past deliveries, quantities, and supplier performance
- Sensor Health — Monitor IoT sensor battery levels, signal strength, and calibration status
- Farm Overview — Get comprehensive farm-wide inventory summaries for executive reporting
- Silo Settings — Customize alert thresholds, grain types, and usage rate assumptions
The GrainSure MCP Server exposes 12 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect GrainSure to Windsurf via MCP
Follow these steps to integrate the GrainSure MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using GrainSure
Open Cascade and ask: "Using GrainSure, help me...". 12 tools available
Why Use Windsurf with the GrainSure MCP Server
Windsurf provides unique advantages when paired with GrainSure through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 12 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
GrainSure + Windsurf Use Cases
Practical scenarios where Windsurf combined with the GrainSure MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from GrainSure and generate models, types, or handlers based on real API responses
Live debugging: query GrainSure tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from GrainSure and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine GrainSure data with Cascade's code generation to scaffold entire features in minutes
GrainSure MCP Tools for Windsurf (12)
These 12 tools become available when you connect GrainSure to Windsurf via MCP:
create_delivery_order
Accepts delivery quantity (tonnes), preferred delivery date, supplier information, and any special instructions. Returns order confirmation with order ID, estimated delivery date, and tracking information. Essential for proactive inventory replenishment, automated ordering based on predictions, and supply chain management. AI agents should use this when users ask "order 20 tonnes of wheat for silo 3", "schedule a delivery for silo 5 next week", or need to place delivery orders based on low stock predictions. Create a new grain delivery order for a specific silo
get_current_level
Returns fill percentage, remaining tonnes, current level height, and last update timestamp. Essential for real-time inventory tracking, delivery planning, and stock management. AI agents should use this when users ask "what is the current fill level in silo 2", "how much grain is left in silo 4", or need immediate stock level data for feed planning and delivery decisions. Get real-time grain fill level for a specific silo
get_days_to_empty
Returns estimated days to empty, predicted empty date, confidence score, and usage rate assumptions. Essential for proactive delivery planning, preventing stock-outs, and optimizing supply chain timing. AI agents should use this when users ask "when will silo 3 run empty", "how many days of feed are left in silo 5", or need predictive supply data for delivery scheduling. Get AI-predicted days until a silo runs empty based on current usage patterns
get_farm_overview
Essential for executive reporting, farm-wide inventory assessment, and strategic supply planning. AI agents should use this when users ask "give me an overview of all my silos", "what is the total grain inventory across the farm", or need farm-level summaries for management reporting. Get comprehensive overview of all monitored silos on the farm
get_fill_level_history
Returns time-series fill percentage data with timestamps showing how stock levels have changed over time. Essential for fill trend analysis, delivery effectiveness assessment, and consumption pattern identification. AI agents should use this when users ask "show me fill level trends for silo 1 over the past 60 days", "has silo 2 been filling or depleting", or need historical fill data for inventory management. Optional days parameter controls lookback period. Get historical fill level readings for a specific silo
get_low_stock_alerts
Returns alert severity (critical, warning, info), affected silo, current fill percentage, threshold level, timestamp, and recommended actions. Essential for proactive inventory management, preventing stock-outs, and timely delivery ordering. AI agents should use this when users ask "show me all low stock alerts", "is silo 3 running low", or need alert data for inventory monitoring. Optional silo_id filters alerts for a specific silo. Get low stock alerts for silos or a specific silo
get_order_history
Essential for delivery tracking, supplier performance assessment, and inventory replenishment planning. AI agents should reference this when users ask "show me delivery history for silo 2", "when was the last delivery to silo 4", or need order data for supply chain analysis. Get delivery order history for a specific silo
get_sensor_health
Returns sensor battery level, signal strength, last communication time, calibration status, and operational status (active, low battery, offline, needs calibration). Essential for sensor maintenance, data continuity assurance, and monitoring system reliability. AI agents should reference this when users ask "is the sensor working in silo 5", "does silo 3 need sensor calibration", or need sensor health data for system administration. Get health status of the level monitoring sensor for a specific silo
get_silo_details
Essential for understanding silo context before analyzing usage data, planning deliveries, or generating inventory reports. AI agents should reference this when users ask "tell me about silo 3", "what grain is stored in silo 5", or need detailed silo metadata for informed decisions. Get detailed information about a specific grain silo
get_silos
Returns silo IDs, names, locations, grain types, current fill levels, and monitoring status. Essential for farm overview, silo inventory management, and selecting specific silos for detailed analysis. AI agents should use this when users ask "show me all my silos", "list monitored storage units", or need to identify available silos before querying fill levels or usage data. List all grain silos monitored by GrainSure
get_usage_history
Returns time-series usage data (tonnes per day/week) with timestamps. Essential for consumption trend analysis, feed rate calculation, and delivery timing optimization. AI agents should reference this when users ask "show me grain usage trends for silo 3", "what is the daily consumption rate for silo 5", or need historical usage data for feed planning and inventory forecasting. Optional days parameter controls lookback period. Get historical grain usage data for a specific silo
update_silo_settings
Essential for customizing monitoring behavior, adjusting alert sensitivity, and maintaining accurate silo profiles. AI agents should use this when users ask "change the low stock threshold for silo 3 to 20 percent", "update silo 5 grain type to barley", or need to modify silo monitoring configuration. Update silo monitoring settings including alert thresholds and grain type
Example Prompts for GrainSure in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with GrainSure immediately.
"Show me the current fill levels for all my silos."
"How many days until my wheat silo runs empty?"
"Order 30 tonnes of barley for silo 2 with delivery next week."
Troubleshooting GrainSure MCP Server with Windsurf
Common issues when connecting GrainSure to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
GrainSure + Windsurf FAQ
Common questions about integrating GrainSure MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect GrainSure with your favorite client
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Connect GrainSure to Windsurf
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.