113 boosters for "research" — AI-graded, open source, ready to install
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.
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.
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.
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.
FaceSwap is an open-source project for swapping faces in images and videos using advanced computer vision and deep learning techniques. It provides user-friendly tools and APIs for face detection, alignment, and seamless face replacement, suitable for research, entertainment, and creative applications.
This MCP server bridges Apple Books and Claude by enabling access to your library, collections, and annotations through a clean API interface. Ideal for readers, researchers, and developers who want to programmatically interact with their Apple Books highlights and metadata.
John is a Product Manager agent that generates comprehensive PRDs and strategic product documentation by translating business vision into actionable development requirements. Product teams, startup founders, and business stakeholders benefit from structured, professional product planning without needing extensive PM expertise.
A WhatsApp AI agent system prompt for Bambu Training Academy that qualifies applicants, answers questions, and books calls with the co-founder. Best suited for Claude-based platforms managing sales conversations.
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.
A Claude Code skill that searches local Zotero libraries and discovers related papers via Semantic Scholar, enabling researchers to explore citations and find relevant literature without leaving their workflow.
A specialized reverse engineering and malware analysis platform with MCP orchestration and containerized tooling, designed for security researchers and binary analysts working with Project Diablo 2 and general malware investigations.
A specialized agent that systematically crafts, tests, and optimizes prompts for LLMs through multiple cognitive modes (generative, critical, evaluative, informative) and performance measurement. Ideal for AI engineers, prompt researchers, and developers seeking to maximize LLM output quality.
Daniel is a frontend design agent specializing in Tailwind 4, HTML, CSS, and Alpine.js for pixel-perfect UI development and responsive component creation. Ideal for developers building modern web interfaces and design systems.
This MCP server integrates OR-Tools optimization capabilities into Claude, enabling developers to solve linear programming and optimization problems directly through Claude Code and Claude Desktop. It benefits developers, data scientists, and operations researchers who need to build optimization features into AI-powered applications.
Emma is a strategic product intelligence agent that helps teams conduct market research, competitive analysis, and develop product roadmaps across hospitality, entertainment, fitness, and retail industries. Ideal for product managers, consultants, and business strategists building multi-tenant platforms.
Libdocs MCP is a multi-agent documentation lookup and web research server that helps developers quickly find relevant information across repositories and the web. It benefits AI engineers and developers building on Claude who need intelligent context retrieval for complex codebases.
Use this agent when you need to use gpt-5 for deep research, second opinion or fixing a bug. Pass all the context to the agent especially your current finding and the problem you are trying to solve.
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.
This skill automates downloading books from Anna's Archive and uploading them to Google NotebookLM for AI-powered document analysis. It's useful for researchers and students who want to create knowledge bases from books without manual uploads.
This MCP server integrates Wildlife Insights' camera-trap data and species identification capabilities into Claude, enabling wildlife managers and researchers to query biodiversity data and manage conservation projects through natural language. It's particularly valuable for ranch managers, conservation teams, and wildlife researchers working with camera-trap networks.
A specialized system prompt that guides AI assistants to extract and analyze climate policy information from U.S. state and city adaptation/resilience plans with strict citation and formatting requirements. Ideal for researchers, policy analysts, and climate professionals who need structured, evidence-based climate policy analysis.
This MCP server enables financial analysis by integrating stock data and SEC filing insights, including price, volume, and insider activity tracking—useful for investors, traders, and financial researchers building AI-powered analysis tools.
Smith is a feedback validation agent that uses parallel research sub-agents to rigorously critique code feedback and plans, ideal for teams needing systematic validation of technical reviews.
A specialized system prompt that guides AI models to extract and analyze climate-related information from U.S. state and city adaptation and resilience plans with strict, dataset-ready formatting. Researchers, climate policy analysts, and data collection teams benefit from the structured extraction approach.
