Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

We compared the most popular Web Search MCP Servers with the same exact prompts on Fairies Exa Perplexity Firecrawl Bright Data Each server has their own unique strengths and limitations. See below the the results!

GuangyuRobert's profile picture

Robert Yang

14,879 subscribers

80,983 görüntüleme • 1 yıl önce •via X (Twitter)

Bilim & TeknolojiEğitim
LIVE

Anya Rossi• Live Now

Private livecam show

6 Yorum

nico profil fotoğrafı
nico1 yıl önce

@fairies_agent So hard to pick a favorite rn will be exciting to see where they take things

Prashant profil fotoğrafı
Prashant1 yıl önce

@fairies_agent quite insightful, thanks Robert for sharing this

BMs profil fotoğrafı
BMs1 yıl önce

@fairies_agent Let’s get it

Altera profil fotoğrafı
Altera1 yıl önce

@fairies_agent Show more comparisons

Frankie profil fotoğrafı
Frankie1 yıl önce

@nicochristie @fairies_agent the latency differences are very surprising

Sacha Uzan profil fotoğrafı
Sacha Uzan1 yıl önce

@fairies_agent Hey @GuangyuRobert, got 4/4 right with @Linkup_platform in with deep parameter - should check it out

Benzer Videolar

INCREDIBLE!! An MCP server to browse the web like humans! Bright Data MCP server provides 30+ powerful tools that allow AI agents to access, search, crawl, and interact with the web without getting blocked. 100% open-source, works at scale!
0:37

INCREDIBLE!! An MCP server to browse the web like humans! Bright Data MCP server provides 30+ powerful tools that allow AI agents to access, search, crawl, and interact with the web without getting blocked. 100% open-source, works at scale!

Akshay 🚀

90,404 görüntüleme • 1 yıl önce

Introducing /search - the simplest way for agents and devs to discover the web 👀 Our #1 most requested endpoint is finally here. Search the web AND scrape all results in an LLM-ready format with one API call. Now live on our API, MCP, and all integrations 🔥
1:34

Introducing /search - the simplest way for agents and devs to discover the web 👀 Our #1 most requested endpoint is finally here. Search the web AND scrape all results in an LLM-ready format with one API call. Now live on our API, MCP, and all integrations 🔥

Firecrawl

390,772 görüntüleme • 1 yıl önce

Introducing the new Firecrawl CLI 🔥 The toolkit for agents to scrape, search, and browse the web. - Scrape clean data from any page - Search the web and get full results back - Spin up cloud browsers for interactive flows npx -y firecrawl-cli@latest init --all --browser
0:43

Introducing the new Firecrawl CLI 🔥 The toolkit for agents to scrape, search, and browse the web. - Scrape clean data from any page - Search the web and get full results back - Spin up cloud browsers for interactive flows npx -y firecrawl-cli@latest init --all --browser

Firecrawl

356,015 görüntüleme • 3 ay önce

You can now perform web searches AND scrape their full content in AI code editors. Simply add the new Firecrawl Search MCP, and it will search the web and get all the page contents for each result in one operation. Here’s how:
0:21

You can now perform web searches AND scrape their full content in AI code editors. Simply add the new Firecrawl Search MCP, and it will search the web and get all the page contents for each result in one operation. Here’s how:

Alvaro Cintas

43,424 görüntüleme • 1 yıl önce

Firecrawl now integrates directly into n8n.io Cloud - Search the web & get clean, structured results - Scrape pages into markdown, JSON & structured data - Interact with pages using AI prompts or code Get 100K free credits for your AI workflows when you quick connect on n8n!
0:30

Firecrawl now integrates directly into n8n.io Cloud - Search the web & get clean, structured results - Scrape pages into markdown, JSON & structured data - Interact with pages using AI prompts or code Get 100K free credits for your AI workflows when you quick connect on n8n!

Firecrawl

15,314 görüntüleme • 3 ay önce

Connecting Claude with web search is magic! Finally got the chance to play with MCP servers. I hooked up Claude Desktop with GitHub & Brave web search MCP servers for staying up to date with AI news. I also asked Claude to create a new GitHub repo and log the news there. This exceeded my expectations. Check the full video (at 2x) for the first demo. Let me know if you are interested in a full tutorial on how to set up the MCP servers.
6:37

Connecting Claude with web search is magic! Finally got the chance to play with MCP servers. I hooked up Claude Desktop with GitHub & Brave web search MCP servers for staying up to date with AI news. I also asked Claude to create a new GitHub repo and log the news there. This exceeded my expectations. Check the full video (at 2x) for the first demo. Let me know if you are interested in a full tutorial on how to set up the MCP servers.

elvis

41,804 görüntüleme • 1 yıl önce

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!
2:43

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 görüntüleme • 1 yıl önce

#ChatGPT cannot scrape the web and has limited knowledge of the world after 2021. Introducing `WebChatGPT`, a mighty Chrome extension that augments your prompts with relevant results from the web! 🤯 See my demo video below 👇 and install it here: 🔗
0:37

#ChatGPT cannot scrape the web and has limited knowledge of the world after 2021. Introducing `WebChatGPT`, a mighty Chrome extension that augments your prompts with relevant results from the web! 🤯 See my demo video below 👇 and install it here: 🔗

Charly Wargnier

1,645,633 görüntüleme • 3 yıl önce

Should agentic UI be controlled by the server or the host? 🤔 In mcp-ui, servers can now define the UI layout and effects, and hosts can render it with their own look and feel! Supports React and Web Components with Shopify's remote-dom. Hit us up with use cases (+Liad Yosef)
0:31

Should agentic UI be controlled by the server or the host? 🤔 In mcp-ui, servers can now define the UI layout and effects, and hosts can render it with their own look and feel! Supports React and Web Components with Shopify's remote-dom. Hit us up with use cases (+Liad Yosef)

Ido Salomon

25,037 görüntüleme • 1 yıl önce

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.
0:25

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.

Firecrawl

123,163 görüntüleme • 2 ay önce

The power of Perplexity right at your fingertips, with Visual Studio Code + the Perplexity MCP server in agent mode ✨
2:14

The power of Perplexity right at your fingertips, with Visual Studio Code + the Perplexity MCP server in agent mode ✨

Visual Studio Code

103,484 görüntüleme • 1 yıl önce

Announcing Exa Websets - a breakthrough toward perfect web search. Sign up for the waitlist below👇
1:43

Announcing Exa Websets - a breakthrough toward perfect web search. Sign up for the waitlist below👇

Exa

872,479 görüntüleme • 1 yıl önce

Introducing the Firecrawl Skill + CLI for Agents 🔥 Agents like Claude Code, Codex, and OpenCode need live quality context from the web. The CLI pulls web content to local files with bash-powered search for the highest token efficiency. $ npx skills add firecrawl/cli
0:24

Introducing the Firecrawl Skill + CLI for Agents 🔥 Agents like Claude Code, Codex, and OpenCode need live quality context from the web. The CLI pulls web content to local files with bash-powered search for the highest token efficiency. $ npx skills add firecrawl/cli

Firecrawl

87,226 görüntüleme • 5 ay önce

The Chat Playground is now the Prompts Playground—we've redesigned it to help you better test, compare, and iterate on prompts, including with tools like web search and file search. 🛝
0:28

The Chat Playground is now the Prompts Playground—we've redesigned it to help you better test, compare, and iterate on prompts, including with tools like web search and file search. 🛝

OpenAI Developers

94,669 görüntüleme • 1 yıl önce

The web wasn't built for AI agents. So we built Firecrawl. - /search finds fresh, relevant sources from the web - /scrape turns any URL into clean context for AI - /interact automates clicks, pagination, and logins Join 1,000,000+ developers connecting intelligence to the web.
1:06

The web wasn't built for AI agents. So we built Firecrawl. - /search finds fresh, relevant sources from the web - /scrape turns any URL into clean context for AI - /interact automates clicks, pagination, and logins Join 1,000,000+ developers connecting intelligence to the web.

Firecrawl

4,711,200 görüntüleme • 1 ay önce

Introducing Valyu DeepResearch. The most accurate AI-native research API on the market - ahead of Perplexity, Parallel, Claude, Tavily, and Exa.
1:10

Introducing Valyu DeepResearch. The most accurate AI-native research API on the market - ahead of Perplexity, Parallel, Claude, Tavily, and Exa.

Valyu

246,583 görüntüleme • 2 ay önce

You can now clone any website just by writing a prompt. Simply add the Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:
0:22

You can now clone any website just by writing a prompt. Simply add the Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

Alvaro Cintas

83,031 görüntüleme • 11 ay önce

You can now install the Supabase MCP server on Claude web and desktop!
0:29

You can now install the Supabase MCP server on Claude web and desktop!

Tyler Shukert

60,361 görüntüleme • 5 ay önce

FireCrawl just launched Fire Enrich. You can now upload a CSV with emails, and the AI agents will search the web to automatically fill in any missing data you need. Here’s how:
0:20

FireCrawl just launched Fire Enrich. You can now upload a CSV with emails, and the AI agents will search the web to automatically fill in any missing data you need. Here’s how:

Alvaro Cintas

34,568 görüntüleme • 1 yıl önce

You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:
0:24

You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

Alvaro Cintas

539,649 görüntüleme • 1 yıl önce