104 boosters for "research" — open source, verified from GitHub, ready to install
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.
This MCP server enables AI-driven WordPress content creation with advanced features like automated SEO optimization, image hosting, and one-click publishing. It's useful for content creators, bloggers, and WordPress developers who want to streamline their publishing workflow with AI assistance.
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.
"id": "ai.paperlantern/code", "name": "Paper Lantern", "description": "Research intelligence for AI coding agents. 2M+ CS papers with evidence and tradeoffs.",
UX Designer agent that provides expert guidance on user experience design, interface design, user research, usability testing, and design systems for business intelligence platforms. Beneficial for product teams, designers, and developers building multi-tenant applications.
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 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.
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.
