18 boosters for "searches" — AI-graded, open source, ready to install
Heuristic scoring (no AI key configured).
This MCP Server integrates Naver Search API with Claude, enabling AI assistants to perform Korean web searches, trend analysis, and data retrieval. It's valuable for developers building AI applications targeting Korean markets or requiring Korean-language search capabilities.
Recall automatically searches across memory sources when users make vague references to past conversations, helping an AI assistant reconstruct context without guessing. Ideal for users who frequently reference earlier discussions and need reliable context retrieval.
A structured prompt booster for Windsurf that establishes best practices for agentic workflows, covering instruction handling, task analysis, implementation verification, and a complete tech stack (Next.js, Payload CMS, TypeScript). It helps developers build reliable AI-powered applications with clear guidelines and quality standards.
Enables efficient searching of Zotero libraries through Python code execution, avoiding context crashes while providing multi-strategy search with automatic deduplication. Ideal for researchers and developers who need comprehensive, safe access to large reference collections.
Parallel Search MCP enables AI agents to perform concurrent web searches efficiently through a standardized MCP server interface. Developers building agentic applications in Claude Desktop, Claude Code, and Cursor benefit from faster, parallelized search capabilities.
An MCP server that integrates Google Programmable Search Engine (PSE) with Claude, enabling AI to perform web searches within custom search engines. Developers and researchers benefit from seamless search integration in AI applications.
This booster integrates Perplexity's Sonar Pro web search capability into Claude and other AI assistants, enabling them to perform real-time internet searches. Developers building AI applications that need current web information will find this particularly valuable.
A system prompt for automating browser-based tasks using AI agents with Playwright and Gemini, enabling developers to build automated workflows for web interactions like job searches and email management across multiple AI platforms.
A specialized agent that intelligently researches, validates, and categorizes knowledge sources for AI systems, determining optimal storage methods (URL references, local extracts, or embeddings) using parallel web scraping. Ideal for developers building knowledge-intensive agent systems who need automated source curation and validation.
A knowledge curation agent that researches, validates, and determines optimal storage methods (URL reference, local excerpt, or embedding) for information sources using parallel web scraping. Ideal for AI engineers building knowledge-intensive agent systems who need intelligent source evaluation and integration.
Do web searches to find things.
This MCP server integrates an LLM Search Engine into Claude and Cursor, enabling developers to perform web searches directly within their AI workflows. It's useful for developers who need real-time information retrieval capabilities in their AI-assisted coding and analysis tasks.
Seltz MCP enables AI assistants to perform web searches directly, giving Claude and other tools access to real-time information from the internet. Developers building AI applications that need current web data will find this particularly useful.
A skill that enables safe, comprehensive searches of Zotero libraries by executing Python code to filter and rank results, preventing context overload crashes. Useful for researchers and developers who need efficient access to large reference collections.
A Brave Search integration for Claude that enables web, image, video, news, and local business searches with advanced filtering and freshness controls. Ideal for developers building AI applications that need real-time web access and multi-format search capabilities.
