103 boosters for "research" — AI-graded, open source, ready to install
Grantmanship MCP Server enables AI models to search and discover grants through Claude Desktop and Claude Code. It's useful for researchers, nonprofit organizations, and grant writers seeking funding opportunities.
ArmBench-LLM is a system prompt framework for evaluating large language models on Armenian language tasks through structured multiple-choice questions. It's designed for developers and AI researchers who need standardized benchmarking tools across popular coding assistants and chat platforms.
DermaSwarm is a multi-agent AI system that assists dermatologists in diagnosing and treating skin conditions by cross-referencing peer-reviewed research and generating structured treatment plans. It's designed for healthcare professionals seeking evidence-based dermatological decision support.
A physics-focused MCP server that orchestrates computational tools (CAS, plotting, natural language inference) to help physicists and students solve complex equations, visualize results, and understand physics concepts. Ideal for educators, researchers, and learners working with quantum mechanics and classical physics problems.
A production-grade agentic chatbot server built in Rust with multi-provider LLM support, tool calling, RAG, MCP integration, and advanced research capabilities
A debate judge agent that objectively evaluates arguments using zero-sum scoring across Toulmin structure, evidence strength, and logical rigor. Ideal for researchers, educators, and developers building computational debate systems.
Enables researchers and academics to systematically search arXiv papers, analyze research content, build literature reviews, and generate citations through a skill designed for Claude Code integration. Useful for students, researchers, and anyone conducting academic research who need structured access to arXiv resources.
Enables Claude to search the web and academic papers (arXiv) via Jina MCP tools and automatically read full content from results. Developers building research-heavy or information-retrieval applications benefit from streamlined multi-source searching.
A Model Context Protocol server that enables Claude to create and manage collections of web entities (companies, people, papers) with automated search and enrichment capabilities via the Exa Websets API. Ideal for researchers, competitive analysts, and developers building AI-powered entity management systems.
Viscoelastic3D extends the Basilisk C CFD solver with 3D viscoelastic flow capabilities, providing development guidelines and code structure for computational fluid dynamics researchers and engineers working with complex fluids.
Heuristic scoring (no AI key configured).
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.
Forge is a 9-stage TDD-first workflow designed for Claude Code in Cursor that guides developers through research, planning, and implementation with built-in security and documentation practices. It benefits AI-assisted developers who want structured, confidence-driven feature shipping with quality gates.
This MCP server integrates the Internet Game Database (IGDB) into Claude, enabling developers and gamers to search for games, access detailed information, and discover titles directly within their AI workflow. It's useful for game researchers, content creators, and developers building game-related applications.
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.
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.
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.
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.
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.
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.
An emergency response toolkit combining shellcode analysis and Linux incident response for security researchers and DevOps teams performing threat investigation and system forensics.
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.
This skill automates DEVONthink document management on macOS through JXA and Python, enabling users to programmatically organize, search, convert, and manage records while integrating with citation systems like Zotero. It's ideal for researchers, academics, and knowledge workers who need to automate complex document workflows.
