ERS USDA (Economic Research) Connector for AI agents.
7 live capabilities
Query USDA farm financial data and production metrics directly.
Waiting for input…
Why people use ERS USDA (Economic Research)
ERS USDA for Agricultural Economic Research
With this Connector, you just tell your AI agent what year, state, or farm type you need. It pulls the data directly into your workspace, so you can start your analysis immediately.
What Vinkius changes
You get direct access to USDA agricultural economic data without manual downloads.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Comparing farm income trends
An economist needs to see if farm expenses rose in 2022.
- Real-world use case 02
Identifying farm classifications
A researcher wants to know how many operator households exist.
- Real-world use case 03
Regional economic mapping
A policy analyst needs to compare five states.
Complete set · 7capabilities
The complete ERS USDA (Economic Research) capability set.
These are the exact actions your AI can choose when you ask it to work with ERS USDA (Economic Research).
01—04
4 capabilities in this set.
Part of 7 available through ERS USDA (Economic Research).
- 01 Capability
Get arms reports
Get_arms_reports shows available reports and variables. This helps you identify which specific data points are available for your query.
- 02 Capability
Get arms states
Get_arms_states lists all ARMS states and their metadata. Use it to understand regional agricultural economies.
- 03 Capability
Get arms variables
Get_arms_variables provides detailed metadata for ARMS variables. Use it to ensure you're interpreting the data correctly.
- 04 Capability
Get arms surveydata
Get_arms_surveydata fetches actual survey results for specific years and reports. This is the primary capability for pulling farm financial data.
05—07
3 capabilities in this set.
Part of 7 available through ERS USDA (Economic Research).
- 05 Capability
Get arms farmtypes
Get_arms_farmtypes lists all farm classifications. Use it to see how the survey categorizes farms by production or size.
- 06 Capability
Get arms years
Get_arms_years lists all available survey years. It lets you quickly see the historical range for your longitudinal analysis.
- 07 Capability
Get arms categories
Get_arms_categories lists ARMS categories and subcategories. This helps you segment your research by specific farm types or operations.
Set up in minutes
One URL. Then ask ERS USDA (Economic Research) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ERS USDA (Economic Research) 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_HgvDO23igRkfy615pLSsFA2VZZTsXARonxiIwEVC/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 ERS USDA (Economic Research), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ERS USDA (Economic Research) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_HgvDO23igRkfy615pLSsFA2VZZTsXARonxiIwEVC/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 ERS USDA (Economic Research) URL.
- Step 03
Save and start
Save the connection and enable ERS USDA (Economic Research) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"ers-usda-economic-research": {
"url": "https://edge.vinkius.com/vk_preview_HgvDO23igRkfy615pLSsFA2VZZTsXARonxiIwEVC/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 ERS USDA (Economic Research)
Open Agent mode in chat and ask: "Using ERS USDA (Economic Research), help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"ers-usda-economic-research": {
"url": "https://edge.vinkius.com/vk_preview_HgvDO23igRkfy615pLSsFA2VZZTsXARonxiIwEVC/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 ERS USDA (Economic Research)
Ask Copilot: "Using ERS USDA (Economic Research), help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"ers-usda-economic-research": {
"url": "https://edge.vinkius.com/vk_preview_HgvDO23igRkfy615pLSsFA2VZZTsXARonxiIwEVC/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 ERS USDA (Economic Research)
Open Cascade and ask: "Using ERS USDA (Economic Research), help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"ers-usda-economic-research": {
"url": "https://edge.vinkius.com/vk_preview_HgvDO23igRkfy615pLSsFA2VZZTsXARonxiIwEVC/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 ERS USDA (Economic Research)
Ask Cline: "Using ERS USDA (Economic Research), help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add ers-usda-economic-research --transport http "https://edge.vinkius.com/vk_preview_HgvDO23igRkfy615pLSsFA2VZZTsXARonxiIwEVC/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 ERS USDA (Economic Research)
Ask Claude: "Using ERS USDA (Economic Research), show me...". 7 tools are ready
Where the request belongs
Work ERS USDA can move forward.
Agricultural economists and policy researchers who need to move past static PDFs and into raw datasets. It's for the analyst who needs to build models based on actual farm income and expenses across different states.
Agricultural Economist
Pulls survey results to build income statements and balance sheets for regional studies.
Data Analyst
Integrates official government agricultural metrics into broader economic models or reports.
Policy Researcher
Analyzes farm household characteristics and production practices across different U.S. states.
Build the capability set
Add more capabilities.
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Bring your own AI
Change the model, client or framework. Keep ERS USDA 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 -
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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 ERS USDA.
The practical details behind the request, access and result.
Can the ERS USDA MCP pull farm income data?
Yes, it can pull detailed financial metrics like gross cash farm income, total expenses, and net income directly from the USDA's ARMS survey.
How do I get USDA ARMS survey results with an AI?
You can connect this Connector to your AI client. Once connected, you can simply ask the agent to fetch survey results for specific years or reports.
Does the ERS USDA MCP support historical farm data?
It does. You can query the Connector to see all available survey years and pull historical data to perform longitudinal analysis of farm finances.
Can I use ERS USDA MCP to see different farm categories?
Yes, the Connector can list all available farm types and categories, allowing you to segment your research by farm size or production type.
Is there a way to get state-specific agricultural data?
Yes, you can use the Connector to retrieve metadata for all ARMS states to understand regional agricultural economies and production practices.
How do I find USDA farm finance variables?
The Connector allows your agent to inspect detailed metadata and definitions for all variables used in the ARMS dataset to ensure accurate interpretation.
What is required to fetch specific survey results using this server?
To use the get_arms_surveydata capability, you must provide at least one year and either a 'report' name (like income+statement) or a specific 'variable' ID (like igcfi).
Can I see which states are available in the ARMS dataset?
Yes! Use the get_arms_states capability to retrieve a list of all U.S. states covered by the survey along with their associated metadata.
How do I find the meaning of a specific variable code like 'igcfi'?
You can use the get_arms_variables capability to fetch detailed metadata and descriptions for all variables used in the Agricultural Resource Management Survey.
One connection away
Give your agent a direct line to ERS USDA.
Connect ERS USDA once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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