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Wiagro MCP Server for Cline 12 tools — connect in under 2 minutes

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Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Wiagro through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.

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Classic Setup·json
{
  "mcpServers": {
    "wiagro": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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* 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 Wiagro MCP Server

Connect your Wiagro Smart Silobag API to any AI agent and take full control of IoT-based grain condition monitoring, rupture detection, satellite environmental monitoring, and silobag quality management through natural conversation.

Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Wiagro tool calls without waiting for prompts between steps. Connect 12 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

What you can do

  • Silobag Management — List and manage all silobags and conventional silos with grain types, fill levels, and monitoring status
  • Real-Time Readings — Get current temperature, intergranular humidity, and CO2 readings from IoT sensors throughout the grain mass
  • Temperature History — Track historical temperature trends to detect hot spots and spoilage heating
  • Humidity History — Monitor intergranular humidity patterns for moisture migration and condensation detection
  • CO2 Tracking — Follow CO2 trends as the earliest indicator of biological activity and grain spoilage
  • Rupture Detection — Receive satellite-based alerts for silobag tears, holes, and structural damage
  • Alert Management — Monitor active alerts for high temperature, humidity, and CO2 threshold breaches
  • Sensor Health — Track IoT sensor battery levels, signal strength, and operational status
  • Satellite Monitoring — Access satellite-based environmental data affecting silobag conditions
  • Quality Assessment — Get AI-powered grain quality scores with storage life predictions
  • Facility Overview — Get comprehensive facility-wide summaries for executive reporting

The Wiagro MCP Server exposes 12 tools through the Vinkius. Connect it to Cline 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 Wiagro to Cline via MCP

Follow these steps to integrate the Wiagro MCP Server with Cline.

01

Open Cline MCP Settings

Click the MCP Servers icon in the Cline sidebar panel

02

Add remote server

Click "Add MCP Server" and paste the configuration above

03

Enable the server

Toggle the server switch to ON

04

Start using Wiagro

Ask Cline: "Using Wiagro, help me...". 12 tools available

Why Use Cline with the Wiagro MCP Server

Cline provides unique advantages when paired with Wiagro through the Model Context Protocol.

01

Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

02

Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

03

Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

04

Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

Wiagro + Cline Use Cases

Practical scenarios where Cline combined with the Wiagro MCP Server delivers measurable value.

01

Autonomous feature building: tell Cline to fetch data from Wiagro and scaffold a complete module with types, handlers, and tests

02

Codebase refactoring: use Wiagro tools to validate live data while Cline restructures your code to match updated schemas

03

Automated testing: Cline fetches real responses from Wiagro and generates snapshot tests or mocks based on actual payloads

04

Incident response: query Wiagro for real-time status and let Cline generate hotfix patches based on the findings

Wiagro MCP Tools for Cline (12)

These 12 tools become available when you connect Wiagro to Cline via MCP:

01

get_alerts

Returns alert severity (critical, warning, info), alert type, affected silobag, timestamp, and recommended actions. Essential for proactive grain management, quality issue detection, and operational response. AI agents should use this when users ask "show me all active alerts", "what warnings have been triggered for silobag 3", or need alert data for operational monitoring. Optional silobag_id filters alerts for a specific silobag. Get active temperature, humidity, and CO2 alerts for silobags

02

get_co2_history

CO2 is the earliest indicator of biological activity (mold, insects, grain respiration) that leads to spoilage. Returns time-series CO2 data in ppm with timestamps. Essential for spoilage trend analysis, early warning detection, and validating storage condition stability. AI agents should reference this when users ask "show me CO2 trends for silobag 3 over the past 30 days", "has CO2 been rising in silobag 5", or need historical CO2 data for grain quality assessment. Get historical CO2 readings to track biological activity and spoilage trends

03

get_current_readings

Returns temperature (Celsius), intergranular humidity (%), and CO2 levels (ppm) from multiple sensor positions throughout the grain mass. Essential for real-time grain quality monitoring, early spoilage detection, and storage condition assessment. AI agents should use this when users ask "what are the current conditions in silobag 2", "show me all sensor readings for silobag 4", or need immediate grain quality data for storage management decisions. Get current temperature, humidity, and CO2 readings from sensors in a silobag

04

get_facility_overview

Essential for executive reporting, facility-wide quality assessment, and strategic storage management. AI agents should use this when users ask "give me an overview of my entire facility", "what is the overall grain quality status", or need facility-level summaries for management reporting. Get comprehensive overview of all monitored silobags and storage units

05

get_humidity_history

Humidity migration and condensation are key drivers of spoilage and quality loss. Returns time-series humidity data (%) with timestamps from multiple sensor positions. Essential for moisture migration analysis, condensation detection, and storage safety monitoring. AI agents should use this when users ask "show me humidity trends for silobag 1", "has humidity been stable in silobag 2", or need historical humidity data for storage management. Get historical intergranular humidity readings for moisture migration analysis

06

get_quality_assessment

Returns quality score, risk level, estimated remaining storage life, and recommended actions. Essential for grain quality monitoring, marketing timing decisions, and storage duration optimization. AI agents should reference this when users ask "what is the grain quality in silobag 3", "assess storage conditions for silobag 5", or need quality assessment data for storage management and marketing decisions. Get AI-powered grain quality assessment for a specific silobag

07

get_rupture_alerts

Rupture alerts indicate tears, holes, or structural damage to silobags that could expose grain to weather, pests, and spoilage. Returns alert severity, location of rupture, detection timestamp, and recommended actions. Essential for silobag integrity monitoring, grain protection, and preventing quality loss. AI agents should use this when users ask "are there any silobag ruptures detected", "show rupture alerts for silobag 3", or need structural integrity alerts for silobag management. Optional silobag_id filters alerts for a specific silobag. Get silobag rupture detection alerts for all silobags or a specific one

08

get_satellite_data

Essential for understanding external risk factors, weather impact assessment, and proactive silobag protection. AI agents should use this when users ask "what is the satellite data for silobag 2", "show external conditions affecting silobag 4", or need environmental context for silobag management decisions. Get satellite-based monitoring data for external silobag conditions

09

get_sensor_health

Returns sensor IDs, positions (depth/location), battery levels, signal strength, last communication time, and operational status (active, low battery, offline). Essential for sensor network maintenance, data continuity assurance, and monitoring system reliability. AI agents should reference this when users ask "are all sensors working in silobag 5", "which sensors need battery replacement", or need sensor network health data for system administration. Get health status of IoT sensors deployed in a silobag

10

get_silobag_details

Essential for understanding silobag context before analyzing sensor data, planning aeration strategies, or generating quality reports. AI agents should reference this when users ask "tell me about silobag 3", "what grain is stored in silobag 5", or need detailed silobag metadata for informed analysis. Get detailed information about a specific silobag or conventional silo

11

get_silobags

Returns silobag IDs, names, locations, grain types, fill levels, and current monitoring status. Essential for facility overview, silobag inventory management, and selecting specific silobags for detailed analysis. AI agents should use this when users ask "show me all my silobags", "list monitored storage units", or need to identify available silobags before querying sensor readings or alerts. List all silobags and conventional silos monitored by Wiagro

12

get_temperature_history

Temperature increases often indicate active spoilage, insect activity, or mold growth. Returns time-series temperature data (Celsius) with timestamps from multiple sensor depths and positions. Essential for hot spot detection, spoilage heating identification, and grain quality preservation. AI agents should reference this when users ask "show me temperature trends for silobag 4", "are there any hot spots developing in silobag 6", or need historical temperature data for spoilage analysis. Optional days parameter controls lookback period. Get historical temperature readings to detect hot spots and spoilage heating in a silobag

Example Prompts for Wiagro in Cline

Ready-to-use prompts you can give your Cline agent to start working with Wiagro immediately.

01

"Show me the current temperature, humidity, and CO2 readings for silobag 3."

02

"Check for any silobag rupture alerts or active warnings across my facility."

03

"Give me a quality assessment for all my monitored silobags."

Troubleshooting Wiagro MCP Server with Cline

Common issues when connecting Wiagro to Cline through the Vinkius, and how to resolve them.

01

Server shows error in sidebar

Click the server name to see logs. Verify the URL and token are correct.

Wiagro + Cline FAQ

Common questions about integrating Wiagro MCP Server with Cline.

01

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
02

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
03

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.

Connect Wiagro to Cline

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.