Provides tools to search for Sam's Club products by keyword and category, locate nearby warehouse locations via zip code or city, and retrieve detailed membership information including tiers, annual fees, and benefits.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Connector for Sam's Club find organic olive oil and show me prices"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An MCP (Model Context Protocol) server that exposes Sam's Club product search, store locator, and membership information as tools for AI assistants.
search_productsSearch Sam's Club products by keyword, with optional category filtering and result count control.
Parameters:
Parameter | Type | Required | Description |
| string | Yes | Search term (e.g. "olive oil", "TV", "laundry detergent") |
| string | No | Filter by category: |
| number | No | Max results to return (default: 10, max: 15) |
Example response fields: id, name, category, price, unit, availability, rating, reviews
find_clubsFind Sam's Club warehouse locations near a zip code or city.
Parameters:
Parameter | Type | Required | Description |
| string | Yes | Zip code (e.g. |
| number | No | Search radius in miles (default: 25) |
Example response fields: club id, name, address, phone, hours, services, distanceMiles
get_membership_infoReturns Sam's Club membership tiers, annual fees, and benefits. Takes no parameters.
Response includes: membership types (standard and Plus), annual fees, benefits lists, add-on pricing, free trial details, and contact information.
Related MCP server: Fake Store API MCP Server
npm install
npm run buildnode dist/index.jsAdd to your claude_desktop_config.json:
{
"mcpServers": {
"samsclub": {
"command": "node",
"args": ["/path/to/mcp-samsclub/dist/index.js"]
}
}
}Or if installed globally via npm:
{
"mcpServers": {
"samsclub": {
"command": "mcp-samsclub"
}
}
}# Install dependencies
npm install
# Build
npm run build
# Pack for distribution
npm packThis connector uses realistic mock data and does not make live requests to Sam's Club servers. It is intended for development, testing, and demonstration purposes.
MIT
Find Sam's Club warehouse locations near a given zip code or city. Returns store details including address, hours, phone, and available services.
Inputs: location (required), radius.
Get current Sam's Club membership types, annual fees, benefits, and pricing information. No parameters required.
Inputs: no named parameters.
Search Sam's Club products by a text query. Returns matching products with pricing, availability, and ratings.
Inputs: query (required), category, maxResults.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 3 tools
Each tool has a clearly distinct purpose: find_clubs targets location search, get_membership_info provides membership details, and search_products handles product discovery. There is no overlap in functionality, making tool selection straightforward for an agent.
All tool names follow a consistent verb_noun pattern (find_clubs, get_membership_info, search_products) with clear, descriptive verbs. The naming is uniform and predictable across the set.
With 3 tools, the count is reasonable for a retail-focused server, covering key areas like locations, membership, and products. It is slightly lean but well-scoped, as each tool serves a distinct, essential function without redundancy.
The tools cover core informational aspects (find, get, search) but lack CRUD operations for a full retail experience, such as managing a cart, placing orders, or updating membership. While the surface is functional for queries, there are notable gaps in transactional capabilities.
Sandbox workspace tools: search, file read, DB queries, integrations. Returns synthetic data.
Product search for AI shopping agents: prices and buy links from big retailers. No key needed.
Free web search, 130M+ business records, local search, weather and travel data for AI agents.
Search live store shelves, verify delivery windows, and run instant AI agent checkouts.