USDA FoodData Central Connector for AI agents.
5 live capabilities
Access authoritative food composition and nutrient data for research.
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Why people use USDA FoodData Central
USDA FoodData Central for Food Science Research
This Connector replaces that manual hunt with a simple conversation. Your agent does the digging, pulls the precise USDA records, and presents them to you instantly. You get to spend your time designing plans instead of managing spreadsheets.
What Vinkius changes
You get instant access to official government food data through a natural 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
Creating a meal plan
A dietitian needs to build a high-nutrient salad plan.
- Real-world use case 02
Building a tracker
A developer wants to populate a new "superfoods" category in their app.
- Real-world use case 03
Writing a paper
A food scientist is comparing the mineral content of different grains to find the best source of selenium for a research paper and gets a summary in seconds.
Complete set · 5capabilities
The complete USDA FoodData Central capability set.
These are the exact actions your AI can choose when you ask it to work with USDA FoodData Central.
01—03
3 capabilities in this set.
Part of 5 available through USDA FoodData Central.
- 01 Capability
Search food items by keyword
Find specific food products in the database using natural language.
- 02 Capability
Get full nutrient profiles
Pull detailed caloric and mineral breakdowns for specific food entries.
- 03 Capability
Compare multiple food items
List several food entries at once to see how their values stack up.
04—05
2 capabilities in this set.
Part of 5 available through USDA FoodData Central.
- 04 Capability
Query survey and foundation records
Access specialized data sets for deep-level food science research.
- 05 Capability
List all available nutrients
See every dietary marker tracked in the official USDA catalog.
Set up in minutes
One URL. Then ask USDA FoodData Central to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use USDA FoodData Central 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_HgVkLSsrlVH5VPdylbqrtvUBewcKDmpeBYBC0z7Q/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 USDA FoodData Central, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable USDA FoodData Central for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_HgVkLSsrlVH5VPdylbqrtvUBewcKDmpeBYBC0z7Q/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 USDA FoodData Central URL.
- Step 03
Save and start
Save the connection and enable USDA FoodData Central in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"usda-fooddata-central-alternative": {
"url": "https://edge.vinkius.com/vk_preview_HgVkLSsrlVH5VPdylbqrtvUBewcKDmpeBYBC0z7Q/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 USDA FoodData Central
Open Agent mode in chat and ask: "Using USDA FoodData Central, help me...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"usda-fooddata-central-alternative": {
"url": "https://edge.vinkius.com/vk_preview_HgVkLSsrlVH5VPdylbqrtvUBewcKDmpeBYBC0z7Q/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 USDA FoodData Central
Ask Copilot: "Using USDA FoodData Central, help me...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"usda-fooddata-central-alternative": {
"url": "https://edge.vinkius.com/vk_preview_HgVkLSsrlVH5VPdylbqrtvUBewcKDmpeBYBC0z7Q/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 USDA FoodData Central
Open Cascade and ask: "Using USDA FoodData Central, help me...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"usda-fooddata-central-alternative": {
"url": "https://edge.vinkius.com/vk_preview_HgVkLSsrlVH5VPdylbqrtvUBewcKDmpeBYBC0z7Q/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 USDA FoodData Central
Ask Cline: "Using USDA FoodData Central, help me...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add usda-fooddata-central-alternative --transport http "https://edge.vinkius.com/vk_preview_HgVkLSsrlVH5VPdylbqrtvUBewcKDmpeBYBC0z7Q/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 USDA FoodData Central
Ask Claude: "Using USDA FoodData Central, show me...". 5 tools are ready
Where the request belongs
Work USDA FoodData Central can move forward.
This is for professionals who need verified nutritional data without the headache of manual database queries. It's for the dietitian who needs to be 100% accurate and the developer who needs to scale food data.
Nutritionist
Checks nutrient values for specific brands to build accurate meal plans.
Food Scientist
Verifies mineral and vitamin profiles for research papers without exporting CSVs.
Health App Developer
Automates food data fetching to populate user-facing nutrition trackers.
Dietitian
Audits food records to ensure dietary guidelines are met for clients.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsUSDA FoodData Central
Access the gold standard in nutrition data. 300,000+ foods with scientific-grade nutrient profiles from the U.S. Department of Agriculture.
FatSecret Platform
Manage your nutritional research. audit food records and recipes via AI.
Nutritionix
Analyze food nutrition from natural language using the industry-leading NLP engine. type any meal description and get instant, precise calorie and macro data.
Edamam
Manage food and nutrition. audit recipes and ingredients via AI.
API Ninjas Nutrition
Fast, NLP-powered food nutrition analysis. type any food description and get instant calorie, protein, fat, carb, fiber, and sugar data.
FatSecret
Access millions of food items with calorie tracking, macro data, and serving sizes from the FatSecret platform used by 30M+ users worldwide.
Bring your own AI
Change the model, client or framework. Keep USDA FoodData Central 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 USDA FoodData Central.
The practical details behind the request, access and result.
Can I use USDA FoodData Central to build a diet plan?
Yes, it provides verified nutrient profiles for thousands of items, making it a reliable source for creating accurate meal plans.
Is the data in USDA FoodData Central accurate?
Yes, it is the official government source for food composition and is used by professionals for verified research.
Can I use this for food science research?
Yes, the Connector includes access to specialized survey data and foundation records, which are ideal for deep-level scientific analysis.
Does it work for specific brands?
It includes brand names and FDC IDs for many commercial products, allowing you to find specific items rather than just generic entries.
Can I search for specific vitamins?
Yes, you can identify all available nutrients in the catalog and then ask your agent to find specific values for any food item.
Is there a limit to how many foods I can search at once?
You can list multiple food items simultaneously to compare different categories side by side without having to do it one by one.
How do I find my USDA API Key?
Sign up at the USDA API portal, and you will receive your API Key via email. Copy and paste it below.
Can the agent search for branded food items?
Yes. Use the search_foods capability and set the dataType to 'Branded'. Your agent will retrieve specific products from various manufacturers instantly.
Is it possible to retrieve a full nutritional breakdown?
Yes. The get_food capability provides a comprehensive list of nutrients, including vitamins, minerals, and caloric data for any specific FDC ID.
One connection away
Give your agent a direct line to USDA FoodData Central.
Connect USDA FoodData Central once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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