262 boosters for "search" — AI-graded, open source, ready to install
An MCP server that provides structured access to adversarial tactics and cyber attack techniques for security research, penetration testing, and AI safety evaluation. Useful for security professionals, red teamers, and AI safety researchers studying attack vectors.
Memento helps users search their computer history—screenshots, keystrokes, and OCR text—to recall forgotten information and context from past activity. Developers and knowledge workers benefit from quick retrieval of previously seen or typed information.
Auralis Commander is a lightweight MCP server that extends Claude Desktop with Windows system access—enabling shell execution, file operations, process management, and system queries. It's ideal for developers and power users who want Claude to interact directly with their Windows environment.
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.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
This booster automates reconnaissance of LLM API endpoints to identify models, authentication methods, and configuration details for security testing. Red team operators and security researchers benefit from structured enumeration workflows.
An MCP server that integrates Obsidian knowledge vaults with Claude, enabling AI-powered graph analysis, semantic search, and knowledge management across notes. Ideal for researchers, knowledge workers, and developers who want to leverage AI on their personal knowledge bases.
A specialized system prompt that guides AI agents to select and use the correct MCP tools (code search, file operations, bash) for specific development tasks, reducing wasted effort and improving workflow efficiency. Developers using Claude Code, Cursor, Windsurf, or similar platforms benefit from clearer tool-selection guidance.
This MCP server provides scientific computation capabilities for linear algebra and vector operations, enabling developers and researchers to perform complex mathematical calculations directly within Claude and Cursor environments.
This MCP server bridges Obsidian local vaults with Claude AI, enabling the model to access and work with your notes and documents via the Model Context Protocol. Ideal for knowledge workers, researchers, and developers who want to leverage their Obsidian knowledge base within AI conversations.
The Pensieve MCP Server enables Claude to examine and retrieve stored memories using vector search (Qdrant), making it ideal for developers building AI applications that need persistent, searchable memory across conversations.
A Model Context Protocol server that enables Claude to search and retrieve DeFi news from targeted websites using the Tavily API. Useful for developers building DeFi applications, traders, and AI assistants that need real-time crypto market news.
A Python skill booster for BeautifulSoup4 that enables parsing, searching, and modifying HTML/XML documents through a navigable tag tree. Developers working with web scraping, data extraction, and HTML manipulation benefit from this practical library integration.
gllm is a system prompt that transforms LLMs into code-first orchestrators for efficient task processing, enabling developers to handle large files and complex workflows through programmatic verification rather than context-heavy text generation.
MCP Analytics provides searchable analytics tools and interactive HTML reports integrated with Claude via the Model Context Protocol, enabling developers to embed data analysis and visualization capabilities into AI-powered applications.
Enables Claude to search and read Confluence pages as markdown, making it easier for teams to access and analyze documentation programmatically. Developers and knowledge workers benefit by automating Confluence content retrieval and analysis tasks.
An emergency response toolkit combining shellcode analysis and Linux incident response for security researchers and DevOps teams performing threat investigation and system forensics.
Second Brain MCP is a semantic search engine for your codebase that lets you find code by natural language queries (like "find the auth bug") instead of grep, using embeddings and local SQLite vector search. It's ideal for developers who want faster code navigation and context awareness across large projects.
Granola-cli is a command-line tool that enables AI coding assistants to query, search, and export Granola meeting notes and transcripts directly from the claude_code environment. Developers and knowledge workers benefit by integrating meeting context into their coding workflows without manual lookups.
TransBigData is a comprehensive Python toolkit for traffic and geospatial big data analysis, including trajectory processing, taxi OD extraction, metro network analysis, and visualization. It's ideal for transportation data scientists, urban planners, and mobility researchers handling GPS traces and spatio-temporal datasets.
Extracts and summarizes YouTube video transcripts into structured notes with key learnings and actionable suggestions. Useful for researchers, students, and content consumers who want quick, clean summaries without manual transcription.
Teaches Claude when to use gabb_structure and gabb_symbol tools for efficient code exploration and navigation in supported languages. Developers working with large codebases benefit from optimized search strategies that reduce unnecessary file reads.
Telegram automation assistant that helps users digest unread messages, analyze writing style, and draft/publish posts to Telegram channels. Ideal for content creators, community managers, and Telegram power users seeking workflow automation.
A Cursor rules collection providing best practices and coding standards for React Native, TypeScript, Expo, Supabase, and React Native Paper development. Developers working with these technologies benefit from standardized guidelines that improve code quality and consistency.
