Taranis Connector for AI agents.
12 live capabilities
Turn high-res imagery into a prioritized list of precision agriculture scouting plans.
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Why people use Taranis
Taranis for Precision Agriculture Threat Detection
This Connector changes that by letting you talk directly to your data. You can ask your agent to find every disease detection in a specific farm and summarize the severity. Instead of hunting for data, you get a prioritized list of actions, letting you spend less time on a dashboard and more time in the field.
What Vinkius changes
You turn high-res imagery into a prioritized list of farm actions through a simple chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Early Disease Detection
An agronomist notices a drop in vigor and asks the agent to find disease detections.
- Real-world use case 02
Precision Weed Management
A farm manager wants to save on herbicide.
- Real-world use case 03
Scouting Prioritization
A consultant needs a plan for the week.
Complete set · 12capabilities
The complete Taranis capability set.
These are the exact actions your AI can choose when you ask it to work with Taranis.
01—04
4 capabilities in this set.
Part of 12 available through Taranis.
- 01 Capability
Get farms
Lists farms belonging to a specific client for organized field navigation.
- 02 Capability
Get field details
Retrieves detailed information about a specific agricultural field.
- 03 Capability
Get fields
Lists all agricultural fields monitored by Taranis including boundaries and crop types.
- 04 Capability
Get map layers
Provides download URLs for NDVI, imagery, and multispectral maps.
05—08
4 capabilities in this set.
Part of 12 available through Taranis.
- 05 Capability
Get organizations
Lists all organizations and contact info available in your Taranis account.
- 06 Capability
Get threats
Returns a consolidated summary of threat categories and priority rankings.
- 07 Capability
Get weed detections
Identifies specific weed species, coverage areas, and herbicide resistance indicators.
- 08 Capability
Get nutrient detections
Shows nutrient deficiency locations and variable rate fertilization recommendations.
09—12
4 capabilities in this set.
Part of 12 available through Taranis.
- 09 Capability
Get scouting recommendations
Provides specific action items like verification locations and scouting patterns.
- 10 Capability
Get clients
Lists clients within a specific organization to help navigate the farm hierarchy.
- 11 Capability
Get detections
Returns GPS coordinates, threat types, and severity levels for all AI-detected crop threats.
- 12 Capability
Get disease detections
Provides disease locations, pathogen IDs, and fungicide treatment suggestions.
Set up in minutes
One URL. Then ask Taranis to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Taranis from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_bGkDziM7J7JQH93rXQwYbPgWadxmM2RQQIMXYunl/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Taranis, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Taranis for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_bGkDziM7J7JQH93rXQwYbPgWadxmM2RQQIMXYunl/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Taranis URL.
- Step 03
Save and start
Save the connection and enable Taranis in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"taranis": {
"url": "https://edge.vinkius.com/vk_preview_bGkDziM7J7JQH93rXQwYbPgWadxmM2RQQIMXYunl/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Taranis
Open Agent mode in chat and ask: "Using Taranis, help me...". 12 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"taranis": {
"url": "https://edge.vinkius.com/vk_preview_bGkDziM7J7JQH93rXQwYbPgWadxmM2RQQIMXYunl/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Taranis
Ask Copilot: "Using Taranis, help me...". 12 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"taranis": {
"url": "https://edge.vinkius.com/vk_preview_bGkDziM7J7JQH93rXQwYbPgWadxmM2RQQIMXYunl/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Taranis
Open Cascade and ask: "Using Taranis, help me...". 12 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"taranis": {
"url": "https://edge.vinkius.com/vk_preview_bGkDziM7J7JQH93rXQwYbPgWadxmM2RQQIMXYunl/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Taranis
Ask Cline: "Using Taranis, help me...". 12 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add taranis --transport http "https://edge.vinkius.com/vk_preview_bGkDziM7J7JQH93rXQwYbPgWadxmM2RQQIMXYunl/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Taranis
Ask Claude: "Using Taranis, show me...". 12 tools are ready
Where the request belongs
Work Taranis can move forward.
This is for agricultural professionals who are tired of manually auditing thousands of hectares of imagery to find small pockets of disease or weeds.
Farm Manager
Prioritizes daily field tasks and monitors crop health across multiple organizations.
Agronomist
Analyzes NDVI trends and identifies specific pathogen types to create treatment plans.
Crop Consultant
Generates data-driven scouting reports and ROI projections for retail clients.
Ag Retailer
Identifies specific areas where customers need fertilizer or pesticide applications.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Monitor agricultural land using satellite imagery, weather data, and soil metrics directly from your AI agent.
Farmonaut
Access satellite agriculture data via Farmonaut. monitor crop health with NDVI, weather, soil moisture, crop advisory, and deforestation alerts from any AI agent.
PlantNET
Identify plant species, diseases, and cultivated varieties using the Pl@ntNet AI engine. analyze images and access global taxonomic data.
OpenFarm Agriculture
Access crowdsourced agricultural data. search for crops, growing guides, and planting instructions.
Bring your own AI
Change the model, client or framework. Keep Taranis connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Taranis.
The practical details behind the request, access and result.
What can the Taranis MCP do for my farm?
It connects your Taranis account to your AI client so you can ask questions about crop health, identify pests and weeds, and get specific scouting plans using natural language.
Can I use Taranis MCP to find specific weed species?
Yes, the Connector can identify specific weed species, estimate their coverage, and even provide herbicide resistance indicators for your fields.
How does Taranis MCP help with fertilizer?
It identifies nutrient deficiency zones and provides variable rate fertilization recommendations based on high-resolution imagery analysis.
Does Taranis MCP work with other AI clients?
Yes, it works with any MCP-compatible client, including Claude, Cursor, and Windsurf, allowing you to use your preferred interface.
Can I see NDVI maps with Taranis MCP?
Yes, you can ask your agent to pull NDVI, NDRE, and GNDVI vegetation indices for specific fields to assess crop vigor instantly.
How do I get scouting recommendations?
Simply ask your agent to generate scouting recommendations for a specific field. It will provide a prioritized list of action items and walk patterns.
Can my AI detect specific weed species in my soybean field from Taranis imagery?
Yes! Use the get_weed_detections capability with your field ID to get AI-detected weed infestations with species-level identification. Returns weed locations, estimated coverage area, species classification, growth stage, and herbicide resistance indicators. For a comprehensive view of all threats (weeds, diseases, pests, nutrients), use get_detections without a type filter.
How do I get scouting recommendations based on the latest flight imagery?
Use the get_scouting_recommendations capability with your field ID. Taranis AI analyzes the latest imagery, detected threats, crop growth stage, and field history to generate specific action items including ground truth verification locations, recommended scouting patterns, treatment suggestions, and priority levels. You can also use get_threats first to see the overall threat severity before reviewing recommendations.
What resolution imagery does Taranis capture and how often are flights conducted?
Taranis captures ultra-high-resolution imagery at sub-millimeter to centimeter level resolution using specialized drone and fixed-wing aircraft. Flight frequency depends on your monitoring plan and crop growth stage. typically every 7-14 days during critical growth periods. Use get_flights to see all flight history for a field, and get_flight_imagery to access specific imagery products (orthomosaics, DSM, NDVI maps) from any flight mission.
One connection away
Give your agent a direct line to Taranis.
Connect Taranis once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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