Search
Top open-source Search AI systems, agents, and MCP tools.
Discover and install verified Search AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (24)
Open in Advanced FilterModel Context Protocol server providing vector similarity search and payload filtering across Qdrant vector databases.
Official Brave Search Model Context Protocol server enabling AI assistants to perform web, local, and news searches with privacy preservation.
Local AI job search assistant MCP server for Claude Desktop and AI IDEs. Aggregates multi-board job postings, performs ATS resume matching (0-100 score), and tracks active applications.
Model Context Protocol (MCP) server providing AI agents with live LinkedIn integration: search jobs, scrape target company profiles, extract job requirements, and fetch personalized job recommendations.
Turn Claude into an AI stock research and technical analysis assistant: scan thousands of charts, track breaking news, calculate risk/reward ratios, set automated stop/target brackets, and backtest setups using free Yahoo Finance and SEC data.
TradingAgents: Multi-Agents LLM Financial Trading Framework
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," "indexing issues," "stuck on page 2," "striking distance keywords," "title tag rewrite," "low CTR," "local SEO," "Google Business Profile," or "map pack." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema. For AI search optimization, see ai-seo.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
Autonomous deep research agent workflow that crawls over 20+ sources, aggregates findings, filters citations, and compiles research papers.
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Official Model Context Protocol server for Chroma, exposing semantic embeddings search, vector collection management, and document querying.
Iterative, graph-based autonomous research agent with reflection, web search verification, and structured report compilation.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Model Context Protocol server for searching, reading, and extracting content from Google Drive documents and spreadsheets.
A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience.
Model Context Protocol server for Obsidian vaults, enabling AI assistants to safely search, read, and append local Markdown notes without corrupting frontmatter.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary.
Upstash Context7 MCP Server providing ultra-fast vector search, semantic context retrieval, and Redis caching for AI models and Cursor IDE.
MCP server for searching, querying, and reading books and metadata from your local Calibre ebook library.
Multi-agent crew that autonomously scrapes financial filings, runs balance sheet ratio analysis, and drafts company investment memos.
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
Model Context Protocol server for semantic passage re-ranking and cross-encoder relevance scoring across complex RAG contexts.
Scans job boards, scores each role 1–5 against your CV, tailors ATS-friendly resumes and cover letters, and tracks your pipeline locally via CLI or Claude Code.
Build & Monetize for Search
Have you created an autonomous agent, MCP server, or Claude Code skill for Search? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.

