Alternatives
Products that do what RivalSearchMCP does
Web search & trends analysis for AI agents
- 1HM
Hi HN! Excited to share our MCP Server at Hyperbrowser - something we’ve been working on for a few days. We think it’s a pretty neat way to connect LLMs and IDEs like Cursor / Windsurf to the internet. Our MCP server exposes seven tools for data collection and browsing: 1. `scrape_webpage` - Extract formatted (markdown, screenshot etc) content from any webpage 2. `crawl_webpages` - Navigate through multiple linked pages and extract LLM-friendly formatted content 3. `extract_structured_data` - Convert messy HTML into structured JSON 4. `search_with_bing` - Query the web and get results…
2025 · github.com
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Prompt analytics and citation mapping for AI search
Jul 2026 · search-console.ai
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The AI research assistant that cites real sources honestly
Jun 2026 · github.com
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Hey all, Last time when we were on HackerNews [1], we received a lot of feedback, and we incorporated most of it. - We have changed our name from grep.help to usegrasp.com - A privacy policy page - Bulk import - Pricing page We are happy to introduce a new feature: a personalized answer search engine that provides direct citations to the content on the page. Demo: https://usegrasp.com/search?q=is+starship+fully+reusable%3F 1 - https://news.ycombinator.com/item?id=35510949
2023 · usegrasp.com
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- 18OS
Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025
- 19SM
Dec 2025 · github.com
- 20FS
Hi HN! This started late last year as an afternoon project to play around with ElasticSearch, and then I kept thinking of new features I wanted to add. I still have a lot of things I want to build, but now seemed like a good time to put it out there: even if the results aren’t nearly the quality I’d like, I’ve still found it useful and I want to show it off! I’ve been working on it since September 2021, but only in fits and starts. The entire thing runs on a computer in my living room (there’s a picture on the About page); I haven’t done any load testing so we’ll see how it holds up.
2022 · search.feep.dev
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Sep 2025 · thealliance.ai
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