OmniSearch MCP

Unifies search and content processing by dynamically selecting optimal providers like Tavily, Brave, and Perplexity to enable flexible information retrieval and enhancement across multiple domains.

Skills

Explore the skills and capabilities of this skillset.

kagi_search

High-quality search results with minimal advertising influence, focused on authoritative sources. Supports search operators in query string (site:, -site:, filetype:, intitle:, inurl:, before:, after:, and exact phrases). Features strong privacy protection and access to specialized knowledge indexes. Best for research, technical documentation, and finding high-quality content without SEO manipulation.

brave_search

Privacy-focused search engine with good coverage of technical topics. Features native support for search operators (site:, filetype:, intitle:, inurl:, before:, after:, and exact phrases). Best for technical documentation, developer resources, and privacy-sensitive queries.

tavily_search

Search the web using Tavily Search API. Best for factual queries requiring reliable sources and citations. Supports domain filtering through API parameters (include_domains/exclude_domains). Provides high-quality results for technical, scientific, and academic topics. Use when you need verified information with strong citation support.

perplexity_search

AI-powered response generation combining real-time web search with advanced language models. Best for complex queries requiring reasoning and synthesis across multiple sources. Features contextual memory for follow-up questions.

jina_reader_process

Convert any URL to clean, LLM-friendly text using Jina Reader API

kagi_fastgpt_search

Quick AI-generated answers with citations, optimized for rapid response (900ms typical start time). Runs full search underneath for enriched answers.

firecrawl_map_process

Fast URL collection from websites for comprehensive site mapping using Firecrawl. Efficiently discovers all accessible URLs within a domain without extracting content. Best for site auditing, URL discovery, and preparing for targeted content extraction.

jina_grounding_enhance

Real-time fact verification against web knowledge. Reduces hallucinations and improves content integrity through statement verification.

tavily_extract_process

Extract web page content from single or multiple URLs using Tavily Extract. Efficiently converts web content into clean, processable text with configurable extraction depth and optional image extraction. Returns both combined and individual URL content. Best for content analysis, data collection, and research.

firecrawl_crawl_process

Deep crawling of all accessible subpages on a website with configurable depth limits using Firecrawl. Efficiently discovers and extracts content from multiple pages within a domain. Best for comprehensive site analysis, content indexing, and data collection from entire websites.

kagi_enrichment_enhance

Provides supplementary content from specialized indexes (Teclis for web, TinyGem for news). Ideal for discovering non-mainstream results and enriching content with specialized knowledge.

kagi_summarizer_process

Instantly summarizes content of any type and length from URLs. Supports pages, videos, and podcasts with transcripts. Best for quick comprehension of long-form content and multimedia resources.

firecrawl_scrape_process

Extract clean, LLM-ready data from single URLs with enhanced formatting options using Firecrawl. Efficiently converts web content into markdown, plain text, or structured data with configurable extraction options. Best for content analysis, data collection, and AI training data preparation.

firecrawl_actions_process

Support for page interactions (clicking, scrolling, etc.) before extraction for dynamic content using Firecrawl. Enables extraction from JavaScript-heavy sites, single-page applications, and content behind user interactions. Best for accessing content that requires navigation, form filling, or other interactions.

firecrawl_extract_process

Structured data extraction with AI using natural language prompts via Firecrawl. Extracts specific information from web pages based on custom extraction instructions. Best for targeted data collection, information extraction, and converting unstructured web content into structured data.

Configuration

Customize the skillset to fit your needs.
MCP Server

Connect to MCP Server

OmniSearch MCP

X/Twitter 助手
一個 AI 驅動的 Twitter 助手,幫助內容創作者將 AI 產品體驗轉化為病毒式推文 - 具有自動潤色、智能研究和一鍵發布功能。
客服文檔助手
AI 助手協助客服團隊創建高質量的支援文檔,包括常見問題、工單回覆、道歉信和標準作業程序。引導您創建內部資源和面向客戶的材料。
品牌设计师
一款專為初創數字產品設計的品牌營銷 AI 助手,幫助您快速生成適合 Product Hunt、AppSumo 等平台的在線推廣材料,涵蓋視覺創意、推廣標語、品牌語調和賣點傳達
AI 網頁工程師
AI Programmer 是一個 AI 頁面,可以將您的原始發布說明轉換為時尚、可發布的 HTML 頁面。
社區活動分析員
分析社區活動截圖,報告參與趨勢和討論亮點。上傳社區互動的截圖,該 Agent 會生成一份清晰的markdown報告,總結參與水平、關鍵討論主題和顯著亮點 — 非常適合社區經理、行銷人員和產品團隊。
工單管理員
收集、分析和管理來自表單和數據庫的支持工單,幫助您高效地跟踪、優先處理和回應。
AI 寫作助手
告訴我有關 AI 產品或品牌的信息 - 我將撰寫吸引人的營銷文案、文章和社交媒體帖子,根據您的品牌聲音和產品細節量身定制,並附上相關鏈接和插圖。
股票新聞報告員
這個 AI 智能體實時監控和分析美國主要股票新聞,生成結構化的投資報告,提供關鍵見解、市場反應和行業級別的總結。
Google 分析師
逐步指南,教您如何將 Google Analytics 4 (GA4) 屬性連接到 Google 分析師代理。涵蓋創建 Google Cloud 服務帳戶、啟用 Analytics Data API、授予 GA4 查看者訪問權限,以及配置代理以支持會話、用戶、跳出率、轉換等指標。非常適合快速在 Bika.ai 中設置 GA4 數據報告。

Frequently Asked Questions

一句話快速介紹:什麼是Bika.ai?
是什麽让 Bika.ai 如此独特?
"BIKA" 這個縮寫單詞代表什麼意思?
Bika.ai是怎麼做到AI自動化做事的?
Bika.ai是免費使用的嗎?
Bika.ai與ChatGPT、Gemini等AI助手有什麼區別?
Bika.ai與多維表格有什麼區別?
Bika.ai 在單表數據量、關聯引用變多後,如幾萬行、幾十萬行,會卡住嗎?
Bika.ai中的"空間站"是什麼?
付款後我擁有多少個付費空間?
什麼是"資源"?
Bika.ai 的團隊是如何「吃自己的狗糧」的?
Bika.ai如何幫助提高工作效率?
Bika.ai 的AI自動化功能有哪些特點?
Bika.ai 中的自動化模板是什麼?
Bika.ai 是否支持團隊協作及權限功能?

Embark on Your AI Automation