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feat(walmart): list walmart across marketing surfaces and example prompts

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CREDO23 2026-07-19 09:01:18 +02:00
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commit bfde1b8741
5 changed files with 13 additions and 10 deletions
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12
surfsense_web/app/(home)/mcp-server/page.tsx
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@ -16,7 +16,7 @@ import type { FaqItem } from "@/lib/connectors-marketing/types";
const canonicalUrl = "https://www.surfsense.com/mcp-server";
const metaDescription =
"The SurfSense MCP server gives Claude, Cursor, and any MCP client native tools for your workspace: scrape Reddit, YouTube, Instagram, TikTok, Amazon, Google Maps, Google Search, and the web, plus full knowledge base access. One API key.";
"The SurfSense MCP server gives Claude, Cursor, and any MCP client native tools for your workspace: scrape Reddit, YouTube, Instagram, TikTok, Amazon, Walmart, Google Maps, Google Search, and the web, plus full knowledge base access. One API key.";
export const metadata: Metadata = {
title: "SurfSense MCP Server: Scraper APIs and Knowledge Base as Agent Tools",
@ -103,6 +103,8 @@ const TOOL_GROUPS = [
"surfsense_google_maps_reviews",
"surfsense_google_search",
"surfsense_amazon_scrape",
"surfsense_walmart_scrape",
"surfsense_walmart_reviews",
"surfsense_web_crawl",
"surfsense_list_scraper_runs",
"surfsense_get_scraper_run",
@ -134,7 +136,7 @@ const FAQ: FaqItem[] = [
{
question: "What is the SurfSense MCP server?",
answer:
"It is a Model Context Protocol server that exposes your SurfSense workspace to MCP clients like Claude Code, Cursor, and Claude Desktop. Your agents get native tools for every scraper API (Reddit, YouTube, Instagram, TikTok, Amazon, Google Maps, Google Search, web crawl) and for searching, reading, and writing your knowledge base.",
"It is a Model Context Protocol server that exposes your SurfSense workspace to MCP clients like Claude Code, Cursor, and Claude Desktop. Your agents get native tools for every scraper API (Reddit, YouTube, Instagram, TikTok, Amazon, Walmart, Google Maps, Google Search, web crawl) and for searching, reading, and writing your knowledge base.",
},
{
question: "Which MCP clients does it work with?",
@ -222,9 +224,9 @@ export default function McpServerPage() {
</h1>
<p className="mt-5 max-w-xl text-base leading-relaxed text-muted-foreground sm:text-lg">
The SurfSense MCP server hands Claude, Cursor, or any MCP client the whole platform:
scrape Reddit, YouTube, Instagram, TikTok, Amazon, Google Maps, Google Search, and
the open web, and search, read, and write your knowledge base. One API key, typed
tools, pay as you go.
scrape Reddit, YouTube, Instagram, TikTok, Amazon, Walmart, Google Maps, Google
Search, and the open web, and search, read, and write your knowledge base. One API
key, typed tools, pay as you go.
</p>
<div className="mt-8 flex flex-wrap items-center gap-3">
<Button asChild size="lg">

4
surfsense_web/components/homepage/hero-section.tsx
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@ -658,8 +658,8 @@ export function HeroSection() {
>
SurfSense is the open-source NotebookLM alternative for AI agents, an open web
research platform with live data connectors. Your AI agents research the live web with
structured data from Reddit, YouTube, Instagram, TikTok, Amazon, Google Maps, Google
Search, and any page on the open web.
structured data from Reddit, YouTube, Instagram, TikTok, Amazon, Walmart, Google
Maps, Google Search, and any page on the open web.
</p>
<div className="relative mb-4 flex w-full flex-col justify-center gap-y-2 sm:flex-row sm:justify-start sm:space-y-0 sm:space-x-4">

2
surfsense_web/components/homepage/persona-paths.tsx
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@ -35,7 +35,7 @@ const PATHS: {
eyebrow: "For developers & agents",
title: "The whole platform is programmable",
description:
"Everything SurfSense agents can do is a typed REST API: scrape Reddit, YouTube, TikTok, Amazon, Google Maps, Google Search, and the open web, search the knowledge base, run automations. One key, JSON in and out, $5 free credit, pay as you go. Already running agents in Claude, Cursor, or your own harness? The SurfSense MCP server hands them the same tools natively.",
"Everything SurfSense agents can do is a typed REST API: scrape Reddit, YouTube, TikTok, Amazon, Walmart, Google Maps, Google Search, and the open web, search the knowledge base, run automations. One key, JSON in and out, $5 free credit, pay as you go. Already running agents in Claude, Cursor, or your own harness? The SurfSense MCP server hands them the same tools natively.",
links: [
{ label: "Read the docs", href: "/docs" },
{ label: "SurfSense MCP server", href: "/mcp-server" },

4
surfsense_web/components/seo/json-ld.tsx
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@ -76,11 +76,11 @@ export function SoftwareApplicationJsonLd() {
"Free self-hosted from the open-source repo; cloud starts with $5 of free credit, then pay as you go",
},
description:
"SurfSense is an open-source NotebookLM alternative for AI agents. It researches the live web with platform-native connectors for Reddit, YouTube, TikTok, Amazon, Google Maps, Google Search, and any page on the open web, through one API or MCP server.",
"SurfSense is an open-source NotebookLM alternative for AI agents. It researches the live web with platform-native connectors for Reddit, YouTube, TikTok, Amazon, Walmart, Google Maps, Google Search, and any page on the open web, through one API or MCP server.",
url: "https://www.surfsense.com",
downloadUrl: "https://github.com/MODSetter/SurfSense/releases",
featureList: [
"Platform-native connectors: Reddit, YouTube, TikTok, Amazon, Google Maps, Google Search, Web Crawl",
"Platform-native connectors: Reddit, YouTube, TikTok, Amazon, Walmart, Google Maps, Google Search, Web Crawl",
"MCP server that exposes every connector as a native agent tool",
"Agent harness with retries, structured output, and credit metering",
"Live web research with cited briefs and alerts",

1
surfsense_web/lib/chat/example-prompts.ts
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@ -37,6 +37,7 @@ export const CHAT_EXAMPLE_CATEGORIES: ChatExampleCategory[] = [
"Analyze the comments on [channel]'s last 10 videos and cluster the complaints",
"What is Reddit saying about [topic] this week?",
"Pull the top TikTok videos for [hashtag] and summarize the trend",
"Summarize the top complaints in the Walmart reviews for [product]",
],
},
{