John Deere Connector for AI agents.
7 live capabilities
Manage farm fleet data and harvest yields through natural conversation.
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Why people use John Deere
John Deere : Stop Digging Through Farm Dashboards
This Connector puts that data in one place. You can ask your agent for a summary of all active alerts or a list of every machine in the fleet. You get the answers you need in seconds without ever opening a browser tab.
What Vinkius changes
You get a natural language interface for your entire John Deere Operations Center.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Identifying urgent fleet maintenance
A fleet coordinator asks the agent to list all high-severity alerts.
- Real-world use case 02
Generating rapid yield reports
An agronomist needs to compare this year's corn yield to last year's.
- Real-world use case 03
Coordinating live sprayer locations
A farm manager needs to know where the sprayers are for the day's path.
Complete set · 7capabilities
The complete John Deere capability set.
These are the exact actions your AI can choose when you ask it to work with John Deere.
01—04
4 capabilities in this set.
Part of 7 available through John Deere.
- 01 Capability
List organizations
See every farm, cooperative, and organization you manage with their full profiles. This helps you maintain a clear view of your entire operation.
- 02 Capability
List machines
View your entire fleet of tractors, combines, and sprayers with serial numbers and engine hours. This keeps your equipment inventory organized.
- 03 Capability
Get machine locations
Get live GPS coordinates and telemetry data for your active equipment in the field. You can see exactly where your machines are operating in real-time.
- 04 Capability
List fields
See all agricultural fields with boundaries, acreage, and current crop assignments. This makes it easy to track your land use and field status.
05—07
3 capabilities in this set.
Part of 7 available through John Deere.
- 05 Capability
Get field operations
Pull records for planting, spraying, and harvesting, including product rates and yields. Use this to quickly gather agronomic data for your records.
- 06 Capability
List alerts
Monitor machine alerts by severity, timestamp, and affected equipment. You can stay on top of maintenance needs before they cause downtime.
- 07 Capability
List clients
Manage and view your grower and landowner relationships in a single list. This keeps your client data accessible and organized in one place.
Set up in minutes
One URL. Then ask John Deere to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use John Deere 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_dbbF0nANyVgiTmFc2cFEsT0WJZS1upVWsRFkzFBm/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 John Deere, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable John Deere for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_dbbF0nANyVgiTmFc2cFEsT0WJZS1upVWsRFkzFBm/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 John Deere URL.
- Step 03
Save and start
Save the connection and enable John Deere in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"john-deere": {
"url": "https://edge.vinkius.com/vk_preview_dbbF0nANyVgiTmFc2cFEsT0WJZS1upVWsRFkzFBm/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 John Deere
Open Agent mode in chat and ask: "Using John Deere, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"john-deere": {
"url": "https://edge.vinkius.com/vk_preview_dbbF0nANyVgiTmFc2cFEsT0WJZS1upVWsRFkzFBm/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 John Deere
Ask Copilot: "Using John Deere, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"john-deere": {
"url": "https://edge.vinkius.com/vk_preview_dbbF0nANyVgiTmFc2cFEsT0WJZS1upVWsRFkzFBm/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 John Deere
Open Cascade and ask: "Using John Deere, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"john-deere": {
"url": "https://edge.vinkius.com/vk_preview_dbbF0nANyVgiTmFc2cFEsT0WJZS1upVWsRFkzFBm/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 John Deere
Ask Cline: "Using John Deere, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add john-deere --transport http "https://edge.vinkius.com/vk_preview_dbbF0nANyVgiTmFc2cFEsT0WJZS1upVWsRFkzFBm/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 John Deere
Ask Claude: "Using John Deere, show me...". 7 tools are ready
Where the request belongs
Work John Deere can move forward.
This is for the farm manager who's tired of clicking through five different menus just to see if a sprayer is running or for the agronomist who needs to pull yield data for a report without manual data entry.
Farm Manager
Checks machine locations and status during the day to coordinate logistics and daily tasks.
Agronomist
Pulls planting and yield data to build season analysis reports instantly without manual data entry.
Fleet Coordinator
Monitors alerts across the whole fleet to identify machines needing maintenance before they break down.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsMyJohnDeere
Manage agricultural operations via MyJohnDeere. list organizations, equipment assets, fields, and machine telematics directly from any AI agent.
OneSoil
Manage agricultural fields, monitor crop health via NDVI, and access hyper-local weather data directly from your AI agent.
Taranis
Access AI-powered crop scouting via Taranis. detect weeds, diseases, pests, nutrient deficiencies, and get scouting recommendations from ultra-high-resolution imagery.
Geopard Agriculture
Universal precision agriculture intelligence. monitor fields, crop health, and NDVI via AI.
AgroLog
Access grain monitoring data via AgroLog. monitor temperature, moisture, CO2, crop levels, weather, and control aeration systems from any AI agent.
Centaur Analytics
Access AI-powered grain monitoring via Centaur. track CO2, moisture, temperature, predict spoilage, and forecast grain quality from any AI agent.
Bring your own AI
Change the model, client or framework. Keep John Deere connected.
-
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 John Deere.
The practical details behind the request, access and result.
Does the John Deere MCP work with my existing farm data?
Yes, it connects directly to your John Deere Operations Center. It pulls your existing machine, field, and yield data so you can access it through your AI client.
Can I use the John Deere MCP to track my equipment in real-time?
Yes, you can ask your agent for the live GPS locations of any machine in your fleet. It provides current telemetry and coordinates for your tractors, combines, and sprayers.
How do I get my yield data into a report using the John Deere MCP?
You can ask your AI client to pull specific operation records for any field. It can gather yield, product rates, and operator info, which you can then ask it to summarize or format for your reports.
Can the John Deere MCP help me manage my machine maintenance?
Yes, it can list all active alerts for your fleet. You can ask your agent to identify machines with high-severity issues or those nearing their service hours.
Is the John Deere MCP for large farms only?
It works for any farm using the John Deere Operations Center. Whether you have a small fleet or a massive cooperative, you can use it to manage your specific organizations and fields.
Does the John Deere MCP show me who is operating my machines?
Yes, the operation history includes the operator's name. You can ask your agent to see who was running a specific piece of equipment during a recent harvest or planting cycle.
Can my AI agent locate all my machines in real time and tell me which fields they're working?
Yes! Use list_organizations to pick your farm, then get_machine_locations to fetch live GPS coordinates and telemetry for every machine. Cross-reference with list_fields to match coordinates to specific fields. Your agent builds the complete picture in one conversation.
How can I quickly review harvest yields across all my fields for the season?
Ask your agent to iterate through your fields: 'Show me harvest data for all fields in org X.' It will call list_fields then get_field_operations for each, filtering for harvest operations. You get yield per acre, product totals, and operator names. perfect for end-of-season reporting without exporting spreadsheets.
Does this integration modify any data on my John Deere account?
No. All 7 capabilities are read-only query operations. they list and retrieve data but never create, update, or delete anything. Your OAuth access token scope controls exactly which organizations and data types are accessible, matching the permissions you configured in the John Deere Developer Portal.
One connection away
Give your agent a direct line to John Deere.
Connect John Deere once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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