93 boosters for "research" — AI-graded, open source, ready to install
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load spectral data from multiple formats, standardize metadata, calculate spectral similarities, and identify compounds for metabolomics workflows.
ultraplan is a CLI tool that records multi-modal context (audio, screenshots, clipboard, keystrokes) from work sessions and converts them into detailed prompts for Claude analysis. Developers and researchers benefit by capturing complete context from meetings, debugging, or research workflows for later AI-assisted analysis.
Build structured datasets from academic papers. Use when the user wants to extract structured data from scientific literature, traverse citation graphs, search OpenAlex for papers, or create datasets from PDFs for research purposes.
A quantum computing research agent that provides structured execution phases and library-first development practices for quantum research tasks. Useful for researchers and developers working on quantum computing projects within Claude-compatible environments.
An ethics-focused agent designed for research tasks that enforces library-first development patterns and component reuse across Claude projects.
market-researcher agent for agent tasks
An adversarial validation agent that challenges expertise claims and mental models to prevent overconfident reasoning. Useful for researchers, engineers, and decision-makers who need rigorous validation of their assumptions.
A CLI tool for orchestrating AI agents at scale to analyze code repositories, manage GitHub collaborators, and conduct bulk research across multiple data sources including Notion and CSV. Ideal for developers and teams automating large-scale code analysis, data processing, and repository management tasks.
BioMCP is an MCP server enabling agent-based biomedical research and development through Claude integration. It benefits biomedical researchers and developers automating computational biology workflows.
Autarch Agent System is a multi-agent architecture that orchestrates AI workflows across scoping, research, planning, execution, and review stages, enabling developers to leverage AI for structured, traceable code generation and codebase analysis at scale.
A system prompt that optimizes AI responses for Obsidian markdown documents, emphasizing brevity, technical precision, and proper formatting with code blocks and MathJax. Useful for developers and researchers who use Obsidian with AI assistants for knowledge management and technical writing.
Converts URLs, articles, and web content into podcast-format MP3 audio using AI-generated conversations. Useful for content creators, researchers, and accessibility-focused developers who want to repurpose written content as listenable audio.
Deep Research is an advanced web research booster using Graph-of-Thoughts methodology to investigate fast-changing topics through hypothesis testing, source triangulation, and multi-tier analysis. It's designed for users and developers needing rigorous, current information on evolving subjects.
Deep Research is a 7-phase structured research protocol that helps users conduct comprehensive, multi-source investigations with verified citations and source triangulation. It benefits researchers, analysts, and anyone needing thorough, auditable research outputs.
A Claude Code skill that enables research across Reddit, X, and the web within a custom time range (1-365 days), helping users stay current on topics with configurable depth and output formats.
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 MCP server integrates Google Trends API data into Claude, enabling access to trending topics, questions, and search data. It's useful for researchers, content creators, marketers, and developers who need real-time trend intelligence.
An MCP server that enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, medRxiv, and Google Scholar. Ideal for researchers, students, and developers who need programmatic access to academic literature.
A development guide for extending PatientHub with new patient simulation agents, enabling researchers and developers to implement custom behavioral models for healthcare simulations.
An MCP server for deep research or task groups
Heuristic scoring (no AI key configured).
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.
