FNS SNAP Retailer Locator MCP for AI. Pinpoint food resources using public USDA data.

Q: How do I search for SNAP retailers in a specific zip code?

You can use the searchretailers tool and provide a filter like Zip5 = '20001' in the where parameter. This will return all authorized retailers within that specific postal area.

Q: Can I find retailers near my current GPS coordinates?

Yes! Use the searchretailersbylocation tool by providing your longitude and latitude. You can also specify a distance (default is 5 miles) to define the search radius.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

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…and any MCP-compatible client

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FNS SNAP Retailer Locator provides access to USDA public data for finding authorized retailers across the United States. You can filter results using specific attributes like state or zip code, or you can search a defined radius around any GPS coordinates.

This MCP lets your AI client pinpoint food resources for social services and researchers.

What your AI can do

Search retailers by location

Locates authorized stores within a specified radius of given GPS coordinates.

Search retailers

Finds SNAP-authorized stores by filtering specific details, such as a state code or zip code.

Search stores by coordinates

Find all authorized retailers within a specific distance (miles or kilometers) of provided GPS points.

Filter results by attributes

Restrict the search to only those locations matching specified criteria, like a state code or zip code.

Extract detailed store data

Retrieve names, full addresses, and geographic coordinates for multiple retailers efficiently.

Manage large datasets

Browse extensive result sets using record offsets and limits to prevent timeouts.

Ask an AI about this

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AI Agent

FNS SNAP Retailer Locator: 2 Tools

These tools let you search for authorized retailers either by filtering attributes like a zip code, or by finding stores within a specified distance using GPS coordinates.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using FNS SNAP Retailer Locator (USDA) on Vinkius

Search Retailers By Location

Locates authorized stores within a specified radius of given GPS coordinates.

Search Retailers

Finds SNAP-authorized stores by filtering specific details, such as a state code or...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The FNS SNAP Retailer Locator integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "fns-snap-retailer-locator-usda": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the FNS SNAP Retailer Locator tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"fns-snap-retailer-locator-usda": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
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Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with FNS SNAP Retailer Locator (USDA), then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

FNS SNAP Retailer Locator MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by USDA FNS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 2 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Finding food resources used to be a mess of phone calls and spreadsheets.

Before this MCP, finding local resources meant logging into government websites, cross-referencing zip code lists, or making multiple phone calls. You'd spend hours manually checking if a store accepted SNAP benefits in a target area; then you'd copy and paste addresses into a spreadsheet to map the gaps.

Now, your agent handles it all. Give it an area of interest—a state, a zip code, or coordinates. The system instantly queries the USDA database and returns every authorized retailer with full details. It takes minutes instead of days.

FNS SNAP Retailer Locator by Search Attributes

You no longer have to guess which data portal holds the information. Whether you're analyzing a cluster of zip codes or need to check specific criteria, `search_retailers` handles the filtering logic for you.

The results are reliable and structured. You get clean records ready for your report—no more messy PDF scans or ambiguous web pages.

Support 24/7 support@vinkius.com ↗

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What your AI can actually do with this

This connector taps into the USDA Food and Nutrition Service (FNS) database. It allows your agent to locate retailers authorized to accept SNAP benefits across America through simple conversation. You don't need an API key because it accesses public government data.

If you just know a general area, you can filter results by state, zip code, or store name using precise attributes. Need to find resources around a client's exact location? Just provide coordinates, and the system finds every authorized store within your specified radius. The result always includes essential details like names and addresses.

Because Vinkius manages this MCP in the central catalog, you connect once from any compatible agent and gain access to both types of searches immediately.

Built · Hosted · Managed by Vinkius FNS SNAP Retailer Locator - Find Authorized Stores

Server ID 019e3899-f142-7356-9f98-0b7b4419271e

Vinkius Inspector

Compliance Grade B

Score 85.85/100

Report View Report ↗

What Changes When You Connect

Eliminate guesswork. Instead of calling multiple databases, use search_retailers_by_location to find every authorized store within a precise radius of any GPS point.

Run large-scale reports. Use search_retailers to filter thousands of records by specific criteria like state or zip code for research purposes.

Get actionable data instantly. You retrieve the full name, address, and coordinates in one step, ready for your report or client file.

Handle massive datasets efficiently. The pagination control ensures you can query large areas without hitting system limits.

Focus on the need, not the tech. Your agent handles the complex SQL-like logic of searching by attributes, so you just ask a plain question.

See it in action

01 01

A family needs immediate food access in a new neighborhood.

The coordinator asks the agent to find all SNAP stores within 5 miles of coordinates X. The MCP uses search_retailers_by_location and returns multiple options, including their addresses, so the family can get help immediately.

02 02

A researcher needs to map food deserts across a whole state.

The analyst queries all zip codes in Texas using search_retailers. The MCP filters and returns a comprehensive list of retailer distribution, allowing the study of coverage gaps that manual checks would miss.

03 03

A public health official is planning outreach for a specific city.

The official runs multiple queries using search_retailers against different zip codes in Baltimore. The MCP aggregates all data, confirming the density and type of available resources before deploying community workers.

04 04

A social worker needs to verify a resource for a specific client's current location.

The agent takes the client's coordinates and runs search_retailers_by_location with a small radius. It provides confirmation of nearby options, letting the worker guide the client accurately.

The honest tradeoffs

Searching for general store types.

Anti-pattern

Asking to find 'any large grocery store' or 'restaurants near me'.

The Fix

This MCP only targets SNAP-authorized retailers. To get results, use search_retailers and specify attributes like State='CA', OR use search_retailers_by_location with specific coordinates.

Assuming real-time inventory status.

Anti-pattern

Asking if a store has 'fresh produce in stock right now'.

The Fix

The MCP pulls location data from public records. It provides the address and authorization status, but it cannot check current inventory or operational hours.

Ignoring precise filtering.

Anti-pattern

Asking for 'all stores in California' without a zip code or radius.

The Fix

To get accurate results, always specify parameters. Use search_retailers and narrow the search by providing both State='CA' AND ZipCode='90210'.

When It Fits, When It Doesn't

Use this MCP if your core need is reliable location data for SNAP-authorized retailers, backed by verifiable USDA public records. Specifically, use search_retailers when you know the general area (a zip code or state) but not the exact point. Use search_retailers_by_location when you have precise GPS coordinates and need to search outward in a radius. Don't use this if you need transactional data—for example, checking store hours that change daily or verifying real-time inventory count. If your problem involves complex business logic beyond simple geo-querying (like calculating optimal routes based on traffic), you should look at specialized routing tools instead.

Questions you might have

How do I search for SNAP retailers in a specific zip code? +

You can use the search_retailers tool and provide a filter like Zip5 = '20001' in the where parameter. This will return all authorized retailers within that specific postal area.

Can I find retailers near my current GPS coordinates? +

Yes! Use the search_retailers_by_location tool by providing your longitude and latitude. You can also specify a distance (default is 5 miles) to define the search radius.

Is there a limit to how many retailers I can retrieve at once? +

By default, the tools return up to 100 records. You can adjust this using the resultRecordCount parameter, and use resultOffset to paginate through larger lists of retailers.

How do I connect to the USDA FNS database using the `search_retailers` tool? +

You don't need an API key or credentials. Since this MCP accesses public government data, connecting your AI client is straightforward directly on Vinkius. We handle all the authentication behind the scenes for you.

What kind of filters can I apply when using the `search_retailers` tool? +

You use flexible, SQL-like syntax to filter by various attributes. This includes specific State codes, Zip Codes, or even searching for retailers that contain a certain phrase in their name.

Is the retailer data provided by `search_retailers` guaranteed to be real-time? +

The MCP accesses the official USDA public database. While the information is highly reliable, it reflects publicly available records and isn't updated in milliseconds. We recommend checking critical locations for absolute accuracy.

If my query using `search_retailers_by_location` fails, what should I check first? +

Double-check your input coordinates (latitude and longitude) and the radius parameter. Make sure all values are provided as numeric formats to prevent calculation or data type errors.

What specific metadata does this MCP retrieve for every retailer found? +

For each result, you get comprehensive details including the full store name, street address, city, state, and precise geographic coordinates. This gives a complete picture of the location.

Connect to your AI in seconds.

Search retailers by location

Search retailers

FNS SNAP Retailer Locator: 2 Tools

Make your AI actually useful.

Search Retailers By Location

Search Retailers

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Finding food resources used to be a mess of phone calls and spreadsheets.

FNS SNAP Retailer Locator by Search Attributes

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

A family needs immediate food access in a new neighborhood.

A researcher needs to map food deserts across a whole state.

A public health official is planning outreach for a specific city.

A social worker needs to verify a resource for a specific client's current location.

The honest tradeoffs

Searching for general store types.

Assuming real-time inventory status.

Ignoring precise filtering.

When It Fits, When It Doesn't

Questions you might have